Index

A B C D E F G H I K L M N O P Q R S T U V W X Y Z

A

a - Variable in class libai.fuzzy.sets.TwoParameterSet
accumulation - Variable in class libai.fuzzy.FuzzyVariable
Accumulation - Class in libai.fuzzy.operators.accumulation: Created by kronenthaler on 14/05/2017.
Accumulation() - Constructor for class libai.fuzzy.operators.accumulation.Accumulation
activate(Map<String, Double>, KnowledgeBase, Operator) - Method in class libai.fuzzy.Antecedent
ActivationMethod - Class in libai.fuzzy.operators.activation: Created by kronenthaler on 08/05/2017.
ActivationMethod() - Constructor for class libai.fuzzy.operators.activation.ActivationMethod
Adaline - Class in libai.nn.supervised: Adaptative Linear neural network.
Adaline(int, int) - Constructor for class libai.nn.supervised.Adaline: Constructor.
Adaline(int, int, Random) - Constructor for class libai.nn.supervised.Adaline: Constructor.
add(Matrix, Matrix) - Method in class libai.common.matrix.Matrix: Adds two matrices.
addRecords(Collection<? extends List<Attribute>>) - Method in class libai.classifiers.dataset.TextFileDataSet
addSolution(int) - Method in class libai.ants.Ant: Ads a component to the ant's current Vector solution
allTheSame() - Method in interface libai.classifiers.dataset.DataSet: Returns the most common output attribute if the rest of the attributes are exactly the same over the whole data set.
allTheSame() - Method in class libai.classifiers.dataset.MySQLDataSet
allTheSame() - Method in class libai.classifiers.dataset.TextFileDataSet
allTheSameOutput() - Method in interface libai.classifiers.dataset.DataSet
allTheSameOutput() - Method in class libai.classifiers.dataset.MySQLDataSet
allTheSameOutput() - Method in class libai.classifiers.dataset.TextFileDataSet
alpha - Static variable in class libai.ants.algorithms.Metaheuristic: Determine the relevance of the pheromone trail tau_ij when an Ant decides the next node to be incorporated in a solution.
AndMethod - Class in libai.fuzzy.operators: Created by kronenthaler on 08/05/2017.
AndMethod() - Constructor for class libai.fuzzy.operators.AndMethod
Ant - Class in libai.ants: This class belong to the core classes of the Ant Framework.
Ant(int, int) - Constructor for class libai.ants.Ant: Constructor.
AntColonySystem - Class in libai.ants.algorithms: This class belong to the core classes of the Ant Framework.
AntColonySystem() - Constructor for class libai.ants.algorithms.AntColonySystem
AntColonySystem(Enviroment) - Constructor for class libai.ants.algorithms.AntColonySystem
antCycle(List<Integer>) - Method in class libai.ants.algorithms.AntSystem
antDensity() - Method in class libai.ants.algorithms.AntSystem
Antecedent - Class in libai.fuzzy: Created by kronenthaler on 30/04/2017.
Antecedent(Clause...) - Constructor for class libai.fuzzy.Antecedent
Antecedent(Node) - Constructor for class libai.fuzzy.Antecedent
AntFrameworkException - Exception in libai.ants: This class belong to the core classes of the Ant Framework.
AntFrameworkException(String) - Constructor for exception libai.ants.AntFrameworkException: Constructor.
AntQ - Class in libai.ants.algorithms
AntQ() - Constructor for class libai.ants.algorithms.AntQ
AntQ(Enviroment) - Constructor for class libai.ants.algorithms.AntQ
antQuantity() - Method in class libai.ants.algorithms.AntSystem
Ants - Variable in class libai.ants.algorithms.Metaheuristic: Enviroment's ant array local copy
Ants - Variable in class libai.ants.Enviroment: Array of Ants
AntSystem - Class in libai.ants.algorithms: This class belong to the core classes of the Ant Framework.
AntSystem() - Constructor for class libai.ants.algorithms.AntSystem: Constructor.
AntSystem(Enviroment) - Constructor for class libai.ants.algorithms.AntSystem: Constructor.
AntSystemRank - Class in libai.ants.algorithms: This class belong to the core classes of the Ant Framework.
AntSystemRank() - Constructor for class libai.ants.algorithms.AntSystemRank: Constructor.
AntSystemRank(Enviroment) - Constructor for class libai.ants.algorithms.AntSystemRank: Constructor.
apply(Function, Matrix) - Method in class libai.common.matrix.Matrix: Apply one function over the elements of the matrix and left the result on a.
applyInIdentity(Function, Matrix) - Method in class libai.common.matrix.Matrix: Apply one function over the elements of the matrix and left on the main diagonal of a identity matrix 'a'.
ArcTangent - Class in libai.common.functions: Function ArcTan.
ArcTangent() - Constructor for class libai.common.functions.ArcTangent
AStar - Class in libai.search: JUST USEFUL FOR MINIMIZATION PROBLEMS!!
AStar() - Constructor for class libai.search.AStar
Attribute - Class in libai.classifiers
Attribute() - Constructor for class libai.classifiers.Attribute

B

b - Variable in class libai.fuzzy.sets.TwoParameterSet
b - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
b - Variable in class libai.nn.supervised.Perceptron
backedUpError - Variable in class libai.classifiers.trees.C45
Backpropagation - Interface in libai.nn.supervised.backpropagation: Created by kronenthaler on 08/01/2017.
bad - Variable in class libai.classifiers.trees.C45
BayesNetwork - Class in libai.classifiers.bayes
BayesNetwork() - Constructor for class libai.classifiers.bayes.BayesNetwork
bestSolution - Variable in class libai.ants.algorithms.Metaheuristic: Vector that holds the global best solution found
beta - Static variable in class libai.ants.algorithms.Metaheuristic: Determine the relevance of the heuristic information n_ij when an Ant decides the next node to be incorporated in a solution.
BFS - Class in libai.search
BFS() - Constructor for class libai.search.BFS
BinaryChromosome - Class in libai.genetics.chromosomes: The binary form of the chromosome.
BinaryChromosome() - Constructor for class libai.genetics.chromosomes.BinaryChromosome
BinaryChromosome(int, Random) - Constructor for class libai.genetics.chromosomes.BinaryChromosome
BinaryChromosome(BinaryChromosome) - Constructor for class libai.genetics.chromosomes.BinaryChromosome: Initialize this chromosome with another one

C

C45 - Class in libai.classifiers.trees: TODO: missing values.
C45() - Constructor for class libai.classifiers.trees.C45
C45(ArrayList<Pair<Attribute, C45>>) - Constructor for class libai.classifiers.trees.C45
C45(Attribute) - Constructor for class libai.classifiers.trees.C45
C45(Pair<Attribute, C45>[]) - Constructor for class libai.classifiers.trees.C45
C45.ContinuousEntropyInformation - Class in libai.classifiers.trees
C45.DiscreteEntropyInformation - Class in libai.classifiers.trees
C45.EntropyInformation - Class in libai.classifiers.trees
C45.GainInformation - Class in libai.classifiers.trees
candidateList(int) - Method in class libai.ants.algorithms.AntSystem
candidateList(int) - Method in class libai.ants.algorithms.Metaheuristic: Generate, per node in the graph, a list of candidates nodes according to some problem specific heuristic.
candidateList(int) - Method in class libai.ants.algorithms.MMAS
candidates - Variable in class libai.ants.algorithms.Metaheuristic: Vector that holds the candidate list
CenterOfArea - Class in libai.fuzzy.defuzzifiers: Defuzzifier method that calculates the value of x where the areas become equal in the aggregated function.
CenterOfArea() - Constructor for class libai.fuzzy.defuzzifiers.CenterOfArea
CenterOfGravity - Class in libai.fuzzy.defuzzifiers: Defuzzifier method that calculates the center of gravity of given function.
CenterOfGravity() - Constructor for class libai.fuzzy.defuzzifiers.CenterOfGravity
check(boolean, String, Object...) - Static method in class libai.common.Precondition
checkParameters() - Method in class libai.ants.algorithms.AntColonySystem
checkParameters() - Method in class libai.ants.algorithms.AntQ
checkParameters() - Method in class libai.ants.algorithms.AntSystem
checkParameters() - Method in class libai.ants.algorithms.ElitistAntSystem
checkParameters() - Method in class libai.ants.algorithms.Metaheuristic: Checks whether or not all of the algorithm's parameters exists.
checkParameters() - Method in class libai.ants.algorithms.MMAS
childs - Variable in class libai.classifiers.trees.C45
Chromosome - Class in libai.genetics.chromosomes: The chromosome abstraction.
Chromosome() - Constructor for class libai.genetics.chromosomes.Chromosome
Clause - Class in libai.fuzzy: Created by kronenthaler on 27/04/2017.
Clause(String, String) - Constructor for class libai.fuzzy.Clause
Clause(String, String, Modifier) - Constructor for class libai.fuzzy.Clause
Clause(Node) - Constructor for class libai.fuzzy.Clause
clean() - Method in class libai.classifiers.dataset.MySQLDataSet
clearSolution() - Method in class libai.ants.Ant: Clears the ant's current solution
close() - Method in interface libai.classifiers.dataset.DataSet: Closes the underlying data source if possible.
close() - Method in class libai.classifiers.dataset.MySQLDataSet
close() - Method in class libai.classifiers.dataset.TextFileDataSet
COA - Static variable in class libai.fuzzy.defuzzifiers.Defuzzifier
COG - Static variable in class libai.fuzzy.defuzzifiers.Defuzzifier
Column - Class in libai.common.matrix: Column class
Column(double[]) - Constructor for class libai.common.matrix.Column: Creates a new column
Column(int) - Constructor for class libai.common.matrix.Column: Creates a new column
Column(Column) - Constructor for class libai.common.matrix.Column: Copy constructor.
columns - Variable in class libai.common.matrix.Matrix: Number of rows and columns of the matrix.
compare(Ant, Ant) - Method in class libai.ants.algorithms.Metaheuristic: Compares to ants' solutions based on the quality metric of f.
compareTo(Node) - Method in class libai.ants.Node: Implements Comparable interface.
compareTo(Attribute) - Method in class libai.classifiers.ContinuousAttribute
compareTo(Attribute) - Method in class libai.classifiers.DiscreteAttribute
compareTo(C45) - Method in class libai.classifiers.trees.C45: Dummy function, just needed to be able to use the Pair structure.
compareTo(Pair<V, K>) - Method in class libai.common.Pair: Compare two pairs by the first element.
compareTo(State) - Method in class libai.search.State: Compare two states
Competitive - Class in libai.nn.unsupervised: Competitive Learning is an unsupervised network where "the winner takes all".
Competitive(int, int) - Constructor for class libai.nn.unsupervised.Competitive: Constructor.
Competitive(int, int, Random) - Constructor for class libai.nn.unsupervised.Competitive: Constructor.
confidence - Variable in class libai.classifiers.trees.C45
Consequent - Class in libai.fuzzy: Created by kronenthaler on 30/04/2017.
Consequent(Clause...) - Constructor for class libai.fuzzy.Consequent
Consequent(Node) - Constructor for class libai.fuzzy.Consequent
constrains(int, List<Integer>) - Method in class libai.ants.algorithms.Metaheuristic: Given a node in the graph and an ant's current solution, returns a list of possible nodes to visit.
ContinuousAttribute - Class in libai.classifiers
ContinuousAttribute(double) - Constructor for class libai.classifiers.ContinuousAttribute
ContinuousAttribute(String, double) - Constructor for class libai.classifiers.ContinuousAttribute
ContinuousEntropyInformation() - Constructor for class libai.classifiers.trees.C45.ContinuousEntropyInformation
copy(Matrix) - Method in class libai.common.matrix.Matrix: Copy this matrix to another matrix a.
copySolution() - Method in class libai.ants.Ant: Returns a copy of the Vector with the ant's current solution
cross(Chromosome, int) - Method in class libai.genetics.chromosomes.BinaryChromosome: Split the genes by position and swap lower portion of this with the lower portion of b and vice versa to return 2 offsprings.
cross(Chromosome, int) - Method in class libai.genetics.chromosomes.Chromosome: Split the genes by position and swap lower portion of this with the lower portion of b and return the new individual
cross(Chromosome, int) - Method in class libai.genetics.chromosomes.IntegerChromosome: Cross the chromosomes, using a mask template.
CSV - libai.io.MatrixIO.Target: Saves the matrix in csv (comma separated values) format.
currentIterationNumber - Variable in class libai.ants.algorithms.Metaheuristic: current iteration number
currentPos - Variable in class libai.ants.Ant: Current Ant position, i.e.: the index of a node in the problem graph

D

d - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
daemonActions() - Method in class libai.ants.algorithms.AntColonySystem
daemonActions() - Method in class libai.ants.algorithms.AntSystem
daemonActions() - Method in class libai.ants.algorithms.ElitistAntSystem
daemonActions() - Method in class libai.ants.algorithms.Metaheuristic: This function is called on each iteration and it provides a way to implement centralized actions
daemonActions() - Method in class libai.ants.algorithms.MMAS
DataSet - Interface in libai.classifiers.dataset: DataSet is a container compound by examples.
debug - Static variable in class libai.ants.algorithms.AntColonySystem: If true, print debug information over System.out.println
debug - Static variable in class libai.ants.algorithms.AntSystem: If true, print debug information over System.out.println
debug - Static variable in class libai.ants.algorithms.MMAS: If true, print debug information over System.out.println
decisionRule(int, List<Integer>) - Method in class libai.ants.algorithms.AntColonySystem
decisionRule(int, List<Integer>) - Method in class libai.ants.algorithms.AntSystem
decisionRule(int, List<Integer>) - Method in class libai.ants.algorithms.Metaheuristic: Used by ants to decided the next node to visit.
decisionRule(int, List<Integer>) - Method in class libai.ants.algorithms.MMAS
decisionRuleNotFromCandidate(int, List<Integer>) - Method in class libai.ants.algorithms.AntColonySystem: Selects a node from all posible nodes, without taking into consideration candidates list.
decode() - Method in class libai.genetics.chromosomes.BinaryChromosome: Convert this chromosome in a long value.
decode(double, double) - Method in class libai.genetics.chromosomes.BinaryChromosome: Convert this chromosome in a double value using the minValue and maxValue as reference.
defaultValue - Variable in class libai.fuzzy.FuzzyVariable
defuzzifier - Variable in class libai.fuzzy.FuzzyVariable
Defuzzifier - Class in libai.fuzzy.defuzzifiers: Created by kronenthaler on 14/05/2017.
Defuzzifier() - Constructor for class libai.fuzzy.defuzzifiers.Defuzzifier
defuzzify(ActivationMethod, KnowledgeBase, double, List<Pair<Double, Clause>>) - Method in class libai.fuzzy.FuzzyVariable
destinationNode - Static variable in class libai.ants.algorithms.Metaheuristic: destination node of the search
DFS - Class in libai.search
DFS() - Constructor for class libai.search.DFS
DiscreteAttribute - Class in libai.classifiers
DiscreteAttribute(String) - Constructor for class libai.classifiers.DiscreteAttribute
DiscreteAttribute(String, String) - Constructor for class libai.classifiers.DiscreteAttribute
DiscreteEntropyInformation() - Constructor for class libai.classifiers.trees.C45.DiscreteEntropyInformation
distance - Variable in class libai.ants.Node: Distance according to other node
domainLeft - Variable in class libai.fuzzy.FuzzyVariable
domainRight - Variable in class libai.fuzzy.FuzzyVariable
dotProduct(Matrix) - Method in class libai.common.matrix.Matrix: Calculate the dot product between this matrix and another.

E

E - Variable in class libai.ants.algorithms.Metaheuristic: Instance of an Enviroment which holds all of the necesary information to solve an optimizacion problem
ElitistAntSystem - Class in libai.ants.algorithms: This class belong to the core classes of the Ant Framework.
ElitistAntSystem() - Constructor for class libai.ants.algorithms.ElitistAntSystem: Constructor.
ElitistAntSystem(Enviroment) - Constructor for class libai.ants.algorithms.ElitistAntSystem: Constructor.
Engine - Class in libai.genetics: Engine class provides complete algorithm to evolve populations of chromosomes, regardless of these kind.
Engine(Class, int, int, double, double, Fitness) - Constructor for class libai.genetics.Engine: Constructor.
EntropyInformation() - Constructor for class libai.classifiers.trees.C45.EntropyInformation
Enviroment - Class in libai.ants: This class belong to the core classes of the Ant Framework.
Enviroment() - Constructor for class libai.ants.Enviroment: Empty constructor.
Enviroment(int, Graph, boolean) - Constructor for class libai.ants.Enviroment: Constructor.
Enviroment(int, Graph, double) - Constructor for class libai.ants.Enviroment: Constructor alias for Enviroment(numberOfAnts,G,false).
Enviroment(Graph) - Constructor for class libai.ants.Enviroment: Constructor.
Enviroment(Graph, boolean) - Constructor for class libai.ants.Enviroment: Constructor.
Enviroment(Graph, double) - Constructor for class libai.ants.Enviroment: Constructor alias for Enviroment(G,false).
epsilon - Static variable in class libai.ants.algorithms.ElitistAntSystem: Determine the weight given to the best-so-far tour Used in the daemonActions() method
equals(Object) - Method in class libai.classifiers.Attribute
equals(Object) - Method in class libai.common.matrix.Matrix: Check if two matrix are equals position to position with a precision of 1e-7.
equals(Object) - Method in class libai.common.Pair
equals(Object) - Method in class libai.common.Triplet
equals(Object) - Method in class libai.search.State: Determines if two states are equals or equivalents
error - Variable in class libai.classifiers.trees.C45
error(DataSet) - Method in class libai.classifiers.trees.C45
error(Column[], Column[]) - Method in class libai.nn.NeuralNetwork: Calculates from a set of patterns.
error(Column[], Column[], int, int) - Method in class libai.nn.NeuralNetwork: Calculates the mean quadratic error.
error(Column[], Column[], int, int) - Method in class libai.nn.supervised.LVQ: Calculates the number of incorrect answers over the total.
error(Column[], Column[], int, int) - Method in class libai.nn.supervised.SVM
error(Column[], Column[], int, int) - Method in class libai.nn.unsupervised.Competitive: Calculate the error using the average distance between the closest neuron.
euclideanDistance2(double[], double[]) - Static method in class libai.nn.NeuralNetwork: Calculates the square Euclidean distance between two vectors.
euclideanDistance2(Column, Column) - Static method in class libai.nn.NeuralNetwork: Calculates the square Euclidean distance between two column matrix.
eval(double) - Method in class libai.common.functions.ArcTangent
eval(double) - Method in interface libai.common.functions.Function: Function to evaluate.
eval(double) - Method in class libai.common.functions.Gaussian
eval(double) - Method in class libai.common.functions.HyperbolicTangent
eval(double) - Method in class libai.common.functions.Identity
eval(double) - Method in class libai.common.functions.Sigmoid
eval(double) - Method in class libai.common.functions.Sign
eval(double) - Method in class libai.common.functions.Sinc
eval(double) - Method in class libai.common.functions.SymmetricSign
eval(double) - Method in class libai.fuzzy.FuzzyTerm
eval(double) - Method in class libai.fuzzy.modifiers.Extremely
eval(double) - Method in class libai.fuzzy.modifiers.Intensify
eval(double) - Method in class libai.fuzzy.modifiers.Modifier
eval(double) - Method in class libai.fuzzy.modifiers.MoreOrLess
eval(double) - Method in class libai.fuzzy.modifiers.Not
eval(double) - Method in class libai.fuzzy.modifiers.Plus
eval(double) - Method in class libai.fuzzy.modifiers.Somewhat
eval(double) - Method in class libai.fuzzy.modifiers.Very
eval(double) - Method in interface libai.fuzzy.sets.FuzzySet: Evaluate the membership of the set with the especified value.
eval(double) - Method in class libai.fuzzy.sets.GaussianShape
eval(double) - Method in class libai.fuzzy.sets.LeftGaussianShape
eval(double) - Method in class libai.fuzzy.sets.LeftLinearShape
eval(double) - Method in class libai.fuzzy.sets.PIShape
eval(double) - Method in class libai.fuzzy.sets.RectangularShape
eval(double) - Method in class libai.fuzzy.sets.RightGaussianShape
eval(double) - Method in class libai.fuzzy.sets.RightLinearShape
eval(double) - Method in class libai.fuzzy.sets.SingletonShape
eval(double) - Method in class libai.fuzzy.sets.SShape
eval(double) - Method in class libai.fuzzy.sets.TrapezoidShape
eval(double) - Method in class libai.fuzzy.sets.TriangularShape
eval(double) - Method in class libai.fuzzy.sets.ZShape
eval(double, double) - Method in class libai.fuzzy.operators.accumulation.MaxMethod
eval(double, double) - Method in class libai.fuzzy.operators.accumulation.SumMethod
eval(double, double) - Method in class libai.fuzzy.operators.activation.LarsenActivation
eval(double, double) - Method in class libai.fuzzy.operators.activation.MamdaniActivation
eval(double, double) - Method in class libai.fuzzy.operators.MaxMethod
eval(double, double) - Method in class libai.fuzzy.operators.MinMethod
eval(double, double) - Method in class libai.fuzzy.operators.Operator
eval(double, double) - Method in class libai.fuzzy.operators.ProbOrMethod
eval(double, double) - Method in class libai.fuzzy.operators.ProdMethod
eval(double, KnowledgeBase) - Method in class libai.fuzzy.Clause
eval(List<Attribute>) - Method in class libai.classifiers.bayes.NaiveBayes
eval(List<Attribute>, DataSet) - Method in class libai.classifiers.trees.C45
eval(Matrix, Matrix) - Method in class libai.common.kernels.GaussianKernel
eval(Matrix, Matrix) - Method in interface libai.common.kernels.Kernel: Evaluates a kernel between the two Vectors .
eval(Matrix, Matrix) - Method in class libai.common.kernels.LinearKernel
eval(Matrix, Matrix) - Method in class libai.common.kernels.PolynomialKernel
eval(Matrix, Matrix) - Method in class libai.common.kernels.SigmoidalKernel
evolve(int) - Method in class libai.genetics.Engine: Evolve the population for ages
expandMap(Column[], Column[], int, int) - Method in class libai.nn.unsupervised.Kohonen: Label the output for the patterns and expand the results through the neighbors until the map is completely fill.
Extremely - Class in libai.fuzzy.modifiers: Created by kronenthaler on 14/05/2017.
Extremely() - Constructor for class libai.fuzzy.modifiers.Extremely
EXTREMELY - Static variable in class libai.fuzzy.modifiers.Modifier

F

f(List<Integer>) - Method in class libai.ants.algorithms.Metaheuristic: This function determines the lenght of a solution
fileSource - Variable in class libai.ants.Graph: If the graph is loaded from a file, this will be a holder for the file's source location
fill() - Method in class libai.common.matrix.Matrix: Fill the matrix with random values between (-1, 1).
fill(boolean) - Method in class libai.common.matrix.Matrix: Fill the matrix with random values between [0, 1) if signed is is false, and (-1, 1) if true.
fill(boolean, Random) - Method in class libai.common.matrix.Matrix: Fill the matrix with random values between [0, 1) if signed is is false, and (-1, 1) if true.
fire(Map<String, Double>, double) - Method in class libai.fuzzy.FuzzyController: Fires the rule's antecedents, with the given variable values.
fire(Map<String, Double>, KnowledgeBase, double) - Method in class libai.fuzzy.RuleBase
first - Variable in class libai.common.Pair: First element of the pair (the 'key').
first - Variable in class libai.common.Triplet: First element of the tuple.
fitness(Chromosome) - Method in interface libai.genetics.Fitness: evaluate the fitness of the passed chromosome.
Fitness - Interface in libai.genetics: Class to handle the fitness specification for the problem.
fromString(String) - Static method in class libai.fuzzy.defuzzifiers.Defuzzifier
fromString(String) - Static method in class libai.fuzzy.modifiers.Modifier
fromString(String) - Static method in class libai.fuzzy.operators.accumulation.Accumulation
fromString(String) - Static method in class libai.fuzzy.operators.activation.ActivationMethod
fromString(String) - Static method in class libai.fuzzy.operators.AndMethod
fromString(String) - Static method in class libai.fuzzy.operators.Operator
fromString(String) - Static method in class libai.fuzzy.operators.OrMethod
func - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
Function - Interface in libai.common.functions: Interface for real functions F(x): R -> R.
FuzzyController - Class in libai.fuzzy: Created by kronenthaler on 30/04/2017.
FuzzyController(String, String, KnowledgeBase, RuleBase) - Constructor for class libai.fuzzy.FuzzyController
FuzzyController(String, KnowledgeBase, RuleBase) - Constructor for class libai.fuzzy.FuzzyController
FuzzyController(Node) - Constructor for class libai.fuzzy.FuzzyController
FuzzySet - Interface in libai.fuzzy.sets: Created by kronenthaler on 23/04/2017.
FuzzyTerm - Class in libai.fuzzy: Created by kronenthaler on 23/04/2017.
FuzzyTerm(FuzzySet, String) - Constructor for class libai.fuzzy.FuzzyTerm
FuzzyTerm(FuzzySet, String, boolean) - Constructor for class libai.fuzzy.FuzzyTerm
FuzzyTerm(Node) - Constructor for class libai.fuzzy.FuzzyTerm
FuzzyVariable - Class in libai.fuzzy: Created by kronenthaler on 23/04/2017.
FuzzyVariable(String, double, double, double, String, Accumulation, Defuzzifier, FuzzyTerm...) - Constructor for class libai.fuzzy.FuzzyVariable
FuzzyVariable(String, double, double, String, FuzzyTerm...) - Constructor for class libai.fuzzy.FuzzyVariable
FuzzyVariable(Node) - Constructor for class libai.fuzzy.FuzzyVariable

G

gain - Variable in class libai.classifiers.trees.C45.GainInformation
GainInformation() - Constructor for class libai.classifiers.trees.C45.GainInformation
gamma - Static variable in class libai.ants.algorithms.AntQ: Learning step size
gaussian(double, double) - Static method in class libai.nn.NeuralNetwork: Calculates the Gaussian function with standard deviation sigma and input parameter u^2
Gaussian - Class in libai.common.functions: Function Gaussian.
Gaussian() - Constructor for class libai.common.functions.Gaussian
GaussianKernel - Class in libai.common.kernels: Gaussian Kernel or RBF kernel.
GaussianKernel(double) - Constructor for class libai.common.kernels.GaussianKernel
GaussianShape - Class in libai.fuzzy.sets: Fuzzy set representing a gaussian function.
GaussianShape(double, double) - Constructor for class libai.fuzzy.sets.GaussianShape: Constructor.
GaussianShape(Node) - Constructor for class libai.fuzzy.sets.GaussianShape
genes - Variable in class libai.genetics.chromosomes.BinaryChromosome: The genetic charge
genes - Variable in class libai.genetics.chromosomes.IntegerChromosome: The genetic charge
get(int) - Method in class libai.common.matrix.Column: Retrieves the value of a given row.
get(int) - Method in class libai.common.matrix.Row: Retrieves the value of a given column.
getActivationValue(Map<String, Double>, KnowledgeBase) - Method in class libai.fuzzy.Rule
getAnt(int) - Method in class libai.ants.Enviroment: Returns the ant located in the i position of the Ants array
getAnts() - Method in class libai.ants.Enviroment: Returns the array of ants of this enviroment
getAttributeCount() - Method in interface libai.classifiers.dataset.MetaData
getAttributeName(int) - Method in interface libai.classifiers.dataset.MetaData
getBestSolution() - Method in class libai.ants.algorithms.Metaheuristic: Returns best solution
getCandidates() - Method in class libai.search.State: Returns a list with all the possible candidates from this state
getChance() - Method in class libai.genetics.chromosomes.Chromosome
getClasses() - Method in interface libai.classifiers.dataset.MetaData
getCol(int) - Method in class libai.common.matrix.Matrix: Return an array with the values of the specified column.
getColumns() - Method in class libai.common.matrix.Matrix
getConsequentClauses() - Method in class libai.fuzzy.Rule
getCopy() - Method in class libai.genetics.chromosomes.BinaryChromosome: Clone this chromosome.
getCopy() - Method in class libai.genetics.chromosomes.Chromosome: Copy constructor
getCopy() - Method in class libai.genetics.chromosomes.IntegerChromosome: Clone this chromosome.
getCost() - Method in class libai.search.State: Get the cost of the current state
getCurrentIterationNumber() - Method in class libai.ants.algorithms.Metaheuristic: Returns current iteration number
getCurrentPos() - Method in class libai.ants.Ant: Returns the ant's current position
getDefaultRandom() - Static method in class libai.common.matrix.Matrix
getDefaultRandomGenerator() - Static method in class libai.genetics.Engine
getDefaultRandomGenerator() - Static method in class libai.nn.NeuralNetwork
getDerivate() - Method in class libai.common.functions.ArcTangent
getDerivate() - Method in interface libai.common.functions.Function: Evaluate the first derivate of this function f'(x)
getDerivate() - Method in class libai.common.functions.Gaussian
getDerivate() - Method in class libai.common.functions.HyperbolicTangent
getDerivate() - Method in class libai.common.functions.Identity
getDerivate() - Method in class libai.common.functions.Sigmoid
getDerivate() - Method in class libai.common.functions.Sign
getDerivate() - Method in class libai.common.functions.Sinc
getDerivate() - Method in class libai.common.functions.SymmetricSign
getDistance() - Method in class libai.ants.Node
getE() - Method in class libai.ants.algorithms.Metaheuristic: Returns the enviroment
getFileSource() - Method in class libai.ants.Graph
getFitness() - Method in class libai.genetics.chromosomes.Chromosome
getFitnessReal() - Method in class libai.genetics.chromosomes.Chromosome
getFrequencies(int, int, int) - Method in interface libai.classifiers.dataset.DataSet: Gets a map between the different values of the attribute at the fieldIndex and their respective frequencies.
getFrequencies(int, int, int) - Method in class libai.classifiers.dataset.MySQLDataSet
getFrequencies(int, int, int) - Method in class libai.classifiers.dataset.TextFileDataSet
getGenes() - Method in class libai.genetics.chromosomes.IntegerChromosome
getGraph() - Method in class libai.ants.Enviroment: Returns the Graph of the problem
getHeuristicCost() - Method in class libai.search.State: Get the heuristic cost of the current state
getHeuristicInfo() - Method in class libai.ants.Node
getIndex() - Method in class libai.ants.Node
getInstance(double) - Static method in class libai.classifiers.Attribute
getInstance(double, String) - Static method in class libai.classifiers.Attribute
getInstance(int) - Static method in class libai.classifiers.Attribute
getInstance(int[], Random) - Method in class libai.genetics.chromosomes.IntegerChromosome: Create a new instance of a Chromosome with this int array.
getInstance(int, String) - Static method in class libai.classifiers.Attribute
getInstance(int, Random) - Method in class libai.genetics.chromosomes.BinaryChromosome: Creates a new chromosome with a length of length
getInstance(int, Random) - Method in class libai.genetics.chromosomes.Chromosome: Generic constructor
getInstance(int, Random) - Method in class libai.genetics.chromosomes.IntegerChromosome: Creates a new chromosome with a length of length
getInstance(File) - Static method in class libai.classifiers.bayes.NaiveBayes
getInstance(File) - Static method in class libai.classifiers.trees.C45
getInstance(String) - Static method in class libai.classifiers.Attribute
getInstance(String, String) - Static method in class libai.classifiers.Attribute
getInstance(BitSet) - Method in class libai.genetics.chromosomes.BinaryChromosome: Create a new instance of a Chromosome with this BitSet.
getInstance(DataSet) - Static method in class libai.classifiers.bayes.NaiveBayes
getInstance(DataSet) - Static method in class libai.classifiers.trees.C45: Return an unpruned tree from the given dataset.
getInstancePrune(DataSet, double) - Static method in class libai.classifiers.trees.C45: Return a pruned tree from the given dataset using the specified confidence.
getInstancePrune(DataSet, int) - Static method in class libai.classifiers.trees.C45: Return a pruned tree from the given dataset using the standard confidence of 25%
getIpAddress() - Method in class libai.fuzzy.FuzzyController
getItemsCount() - Method in interface libai.classifiers.dataset.DataSet
getItemsCount() - Method in class libai.classifiers.dataset.MySQLDataSet
getItemsCount() - Method in class libai.classifiers.dataset.TextFileDataSet
getM() - Method in class libai.ants.Graph
getMap() - Method in class libai.nn.unsupervised.Kohonen
getMaximum() - Method in interface libai.common.ProgressDisplay
getMaxNeighbor(int) - Method in class libai.ants.algorithms.AntQ
getMetaData() - Method in interface libai.classifiers.dataset.DataSet
getMetaData() - Method in class libai.classifiers.dataset.MySQLDataSet
getMetaData() - Method in class libai.classifiers.dataset.TextFileDataSet
getMinimum() - Method in interface libai.common.ProgressDisplay
getName() - Method in class libai.classifiers.Attribute
getName() - Method in class libai.fuzzy.FuzzyController
getName() - Method in class libai.fuzzy.FuzzyTerm
getName() - Method in class libai.fuzzy.RuleBase
getNumberOfAnts() - Method in class libai.ants.Enviroment: Returns the number of ants
getNumberOfNodes() - Method in class libai.ants.algorithms.Metaheuristic: Gets the number of nodes of the problem graph
getOutputIndex() - Method in interface libai.classifiers.dataset.DataSet
getOutputIndex() - Method in class libai.classifiers.dataset.MySQLDataSet
getOutputIndex() - Method in class libai.classifiers.dataset.TextFileDataSet
getParam(int) - Method in class libai.ants.algorithms.Metaheuristic
getPheromones() - Method in class libai.ants.Enviroment: Returns the Pheromone trail
getPlotter() - Method in class libai.nn.NeuralNetwork
getProgressBar() - Method in class libai.nn.NeuralNetwork
getPrototypeAt(int, int) - Method in class libai.nn.unsupervised.Kohonen
getRow(int) - Method in class libai.common.matrix.Matrix: Return an array with the values of the specified row.
getRows() - Method in class libai.common.matrix.Matrix
getSolution() - Method in class libai.ants.Ant: Returns a reference to the Vector with the ant's current solution
getSolutionSize() - Method in class libai.ants.Ant: Returns the size of the ant's current solution
getSubset(int, int) - Method in interface libai.classifiers.dataset.DataSet: Create a slice of this data set as a new data set from [lo, hi).
getSubset(int, int) - Method in class libai.classifiers.dataset.MySQLDataSet
getSubset(int, int) - Method in class libai.classifiers.dataset.TextFileDataSet
getTerm(String) - Method in class libai.fuzzy.FuzzyVariable
getTerm(String, String) - Method in class libai.fuzzy.KnowledgeBase
getTermName() - Method in class libai.fuzzy.Clause
getValue() - Method in class libai.classifiers.Attribute
getValue() - Method in class libai.classifiers.ContinuousAttribute
getValue() - Method in class libai.classifiers.DiscreteAttribute
getValue() - Method in interface libai.common.ProgressDisplay
getValue(List<Point2D.Double>) - Method in class libai.fuzzy.defuzzifiers.CenterOfArea
getValue(List<Point2D.Double>) - Method in class libai.fuzzy.defuzzifiers.CenterOfGravity: Implements the center of gravity by calculating the Riemann's sums of the area using the trapezoidal rule.
getValue(List<Point2D.Double>) - Method in class libai.fuzzy.defuzzifiers.Defuzzifier
getValue(List<Point2D.Double>) - Method in class libai.fuzzy.defuzzifiers.MeanOfMaxima
getVariable(String) - Method in class libai.fuzzy.KnowledgeBase
getVariableName() - Method in class libai.fuzzy.Clause
getWeights() - Method in class libai.nn.supervised.Hebb
getWeights() - Method in class libai.nn.supervised.LVQ
getWeights() - Method in class libai.nn.supervised.MultiLayerPerceptron
getWeights() - Method in class libai.nn.supervised.Perceptron
good - Variable in class libai.classifiers.trees.C45
Graph - Class in libai.ants: This class belong to the core classes of the Ant Framework.
Graph - Variable in class libai.ants.algorithms.Metaheuristic: Enviroment's graph local copy
Graph - Variable in class libai.ants.Enviroment: Graph wich represent the information of the problem to optimize
Graph(int, int, double[]) - Constructor for class libai.ants.Graph: Constructor.
Graph(String) - Constructor for class libai.ants.Graph: Constructor.

H

hashCode() - Method in class libai.classifiers.Attribute
hashCode() - Method in class libai.common.matrix.Matrix
hashCode() - Method in class libai.common.Pair
hashCode() - Method in class libai.common.Triplet
hashCode() - Method in class libai.search.State: Hash code of the state MUST BE implemented to keep track of the visited states
Hebb - Class in libai.nn.supervised: Hebbian supervised networks are good for pattern retrieval and reconstructions.
Hebb(int, int) - Constructor for class libai.nn.supervised.Hebb: Constructor.
Hebb(int, int, double) - Constructor for class libai.nn.supervised.Hebb: Constructor.
Hebb(int, int, double, Random) - Constructor for class libai.nn.supervised.Hebb: Constructor.
heuristicInfo - Variable in class libai.ants.Node: Heuristic information
heuristicInfo(double) - Method in class libai.ants.algorithms.Metaheuristic: Calculates the heuristic information.
Hopfield - Class in libai.nn.unsupervised: Hopfield's networks are the most important and most applicable recurrent neural network.
Hopfield(int) - Constructor for class libai.nn.unsupervised.Hopfield: Constructor.
HyperbolicTangent - Class in libai.common.functions: Hyperbolic Tangent.
HyperbolicTangent() - Constructor for class libai.common.functions.HyperbolicTangent

I

Identity - Class in libai.common.functions: Identity function f(x) = x; The first derivate of I(x), I'(x) = 1.
Identity() - Constructor for class libai.common.functions.Identity
increment(int, int, double) - Method in class libai.common.matrix.Matrix: Increments the value of one position by v.
index - Variable in class libai.ants.Ant: This Ant's position in the Enviroment's Ants array
index - Variable in class libai.ants.Node: Index of the node in the graph
indexOfSplitValue - Variable in class libai.classifiers.trees.C45.ContinuousEntropyInformation
initialize(int) - Method in class libai.genetics.Engine: Initialize population with size chromosomeSize
initialize(NeuralNetwork, int[], Function[], Matrix[], Column[], Column[], Column[]) - Method in interface libai.nn.supervised.backpropagation.Backpropagation: Initializes the Backpropagation algorithm with the basic structures needed.
initialize(NeuralNetwork, int[], Function[], Matrix[], Column[], Column[], Column[]) - Method in class libai.nn.supervised.backpropagation.StandardBackpropagation
initializeProgressBar(int) - Method in class libai.nn.NeuralNetwork
initialNode - Static variable in class libai.ants.algorithms.Metaheuristic: initial node of the search
initialUpdate - Variable in class libai.nn.supervised.backpropagation.ResilientBackpropagation
ins - Variable in class libai.nn.supervised.LVQ
ins - Variable in class libai.nn.supervised.Perceptron
ins - Variable in class libai.nn.unsupervised.Competitive
IntegerChromosome - Class in libai.genetics.chromosomes: Implementation of a permutation chromosome.
IntegerChromosome() - Constructor for class libai.genetics.chromosomes.IntegerChromosome
IntegerChromosome(int, Random) - Constructor for class libai.genetics.chromosomes.IntegerChromosome
IntegerChromosome(IntegerChromosome) - Constructor for class libai.genetics.chromosomes.IntegerChromosome
Intensify - Class in libai.fuzzy.modifiers: Created by kronenthaler on 14/05/2017.
Intensify() - Constructor for class libai.fuzzy.modifiers.Intensify
INTESIFY - Static variable in class libai.fuzzy.modifiers.Modifier
isBetter(double, double) - Method in interface libai.genetics.Fitness: is this fitness better than the best fitness known?
isCategorical() - Method in class libai.classifiers.Attribute
isCategorical(int) - Method in interface libai.classifiers.dataset.MetaData
isLeaf() - Method in class libai.classifiers.trees.C45
isSolution() - Method in class libai.search.State: Determines if the current state is a solution or not
iterator() - Method in class libai.classifiers.dataset.MySQLDataSet
iterator() - Method in class libai.classifiers.dataset.TextFileDataSet
iterator() - Method in class libai.fuzzy.Consequent

K

Kernel - Interface in libai.common.kernels
KnowledgeBase - Class in libai.fuzzy: Created by kronenthaler on 26/04/2017.
KnowledgeBase(FuzzyVariable...) - Constructor for class libai.fuzzy.KnowledgeBase
KnowledgeBase(Node) - Constructor for class libai.fuzzy.KnowledgeBase
Kohonen - Class in libai.nn.unsupervised: Kohonen's Self-organizative Maps or SOM or Kohonen.
Kohonen(int[], double) - Constructor for class libai.nn.unsupervised.Kohonen: Constructor.
Kohonen(int[], double, int[], int[]) - Constructor for class libai.nn.unsupervised.Kohonen: Constructor.
Kohonen(int[], double, int[], int[], Random) - Constructor for class libai.nn.unsupervised.Kohonen: Constructor.
Kohonen(int[], double, Random) - Constructor for class libai.nn.unsupervised.Kohonen: Constructor.

L

LAPLACE_PRUNE - Static variable in class libai.classifiers.trees.C45
LarsenActivation - Class in libai.fuzzy.operators.activation: Created by kronenthaler on 14/05/2017.
LarsenActivation() - Constructor for class libai.fuzzy.operators.activation.LarsenActivation
layers - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
LeftGaussianShape - Class in libai.fuzzy.sets: Fuzzy set representing a gaussian function.
LeftGaussianShape(double, double) - Constructor for class libai.fuzzy.sets.LeftGaussianShape: Constructor.
LeftGaussianShape(Node) - Constructor for class libai.fuzzy.sets.LeftGaussianShape
LeftLinearShape - Class in libai.fuzzy.sets: Fuzzy set representing a increasing linear function, in the [a, b] interval.
LeftLinearShape(double, double) - Constructor for class libai.fuzzy.sets.LeftLinearShape: Constructor.
LeftLinearShape(Node) - Constructor for class libai.fuzzy.sets.LeftLinearShape
length - Variable in class libai.genetics.chromosomes.BinaryChromosome
libai.ants - package libai.ants
libai.ants.algorithms - package libai.ants.algorithms
libai.classifiers - package libai.classifiers
libai.classifiers.bayes - package libai.classifiers.bayes
libai.classifiers.dataset - package libai.classifiers.dataset
libai.classifiers.trees - package libai.classifiers.trees
libai.common - package libai.common
libai.common.functions - package libai.common.functions
libai.common.kernels - package libai.common.kernels
libai.common.matrix - package libai.common.matrix
libai.fuzzy - package libai.fuzzy
libai.fuzzy.defuzzifiers - package libai.fuzzy.defuzzifiers
libai.fuzzy.modifiers - package libai.fuzzy.modifiers
libai.fuzzy.operators - package libai.fuzzy.operators
libai.fuzzy.operators.accumulation - package libai.fuzzy.operators.accumulation
libai.fuzzy.operators.activation - package libai.fuzzy.operators.activation
libai.fuzzy.sets - package libai.fuzzy.sets
libai.genetics - package libai.genetics
libai.genetics.chromosomes - package libai.genetics.chromosomes
libai.io - package libai.io
libai.nn - package libai.nn
libai.nn.supervised - package libai.nn.supervised
libai.nn.supervised.backpropagation - package libai.nn.supervised.backpropagation
libai.nn.unsupervised - package libai.nn.unsupervised
libai.search - package libai.search
LinearKernel - Class in libai.common.kernels: Implements a linear kernel based on the dot product.
LinearKernel() - Constructor for class libai.common.kernels.LinearKernel
linkOccursInPath(int, int, List<Integer>) - Method in class libai.ants.algorithms.AntSystem: Determine whether a link i,j exists in a Vector
load(Node) - Static method in class libai.classifiers.Attribute
load(Node) - Method in class libai.classifiers.trees.C45: Load a new C45 tree from the XML node root.
load(Node) - Method in class libai.fuzzy.Antecedent
load(Node) - Method in class libai.fuzzy.Clause
load(Node) - Method in class libai.fuzzy.Consequent
load(Node) - Method in class libai.fuzzy.FuzzyController
load(Node) - Method in class libai.fuzzy.FuzzyTerm
load(Node) - Method in class libai.fuzzy.FuzzyVariable
load(Node) - Method in class libai.fuzzy.KnowledgeBase
load(Node) - Method in class libai.fuzzy.Rule
load(Node) - Method in class libai.fuzzy.RuleBase
load(Node) - Method in class libai.fuzzy.sets.SingletonShape
load(Node) - Method in class libai.fuzzy.sets.TrapezoidShape
load(Node) - Method in class libai.fuzzy.sets.TriangularShape
load(Node) - Method in class libai.fuzzy.sets.TwoParameterSet
load(Node) - Method in interface libai.fuzzy.XMLSerializer: Initializes the instance with the xml node information.
localPheromonesUpdate(int, int) - Method in class libai.ants.algorithms.AntColonySystem: Updates pheromone trail of a current local solution
localPheromonesUpdate(int, int) - Method in class libai.ants.algorithms.AntQ
LVQ - Class in libai.nn.supervised: Learning Vector Quantization or LVQ.
LVQ(int, int, int) - Constructor for class libai.nn.supervised.LVQ: Constructor.
LVQ(int, int, int, Random) - Constructor for class libai.nn.supervised.LVQ: Constructor.

M

M - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
MamdaniActivation - Class in libai.fuzzy.operators.activation: Created by kronenthaler on 14/05/2017.
MamdaniActivation() - Constructor for class libai.fuzzy.operators.activation.MamdaniActivation
matrix - Variable in class libai.common.matrix.Matrix: Matrix's data, stored for row in a sequential array.
Matrix - Class in libai.common.matrix: Matrix implementation.
Matrix(int, int) - Constructor for class libai.common.matrix.Matrix: Constructor alias for Matrix(r,c,false).
Matrix(int, int, boolean) - Constructor for class libai.common.matrix.Matrix: Constructor.
Matrix(int, int, double[]) - Constructor for class libai.common.matrix.Matrix: Constructor.
Matrix(Matrix) - Constructor for class libai.common.matrix.Matrix: Copy constructor.
MatrixIO - Class in libai.io: This class implements basic IO functions for Matrix objects.
MatrixIO() - Constructor for class libai.io.MatrixIO
MatrixIO.Target - Enum in libai.io: Serialization target
MAX - Static variable in class libai.fuzzy.operators.accumulation.Accumulation
MAX - Static variable in class libai.fuzzy.operators.OrMethod
maxCandidates - Static variable in class libai.ants.algorithms.AntColonySystem: Maximum number of candidates to be included in the candidate list
maxInfo - Variable in class libai.classifiers.trees.C45.DiscreteEntropyInformation
MaxMethod - Class in libai.fuzzy.operators.accumulation: Created by kronenthaler on 14/05/2017.
MaxMethod - Class in libai.fuzzy.operators: Created by kronenthaler on 08/05/2017.
MaxMethod() - Constructor for class libai.fuzzy.operators.accumulation.MaxMethod
MaxMethod() - Constructor for class libai.fuzzy.operators.MaxMethod
maxNumIterations - Static variable in class libai.ants.algorithms.Metaheuristic: the maximum number of iterations
maxSplitInfo - Variable in class libai.classifiers.trees.C45.DiscreteEntropyInformation
maxUpdate - Variable in class libai.nn.supervised.backpropagation.ResilientBackpropagation
MeanOfMaxima - Class in libai.fuzzy.defuzzifiers: Defuzzifier method that calculates the center (mean) where the function reaches a maximum.
MeanOfMaxima() - Constructor for class libai.fuzzy.defuzzifiers.MeanOfMaxima
metadata - Variable in class libai.classifiers.bayes.NaiveBayes
MetaData - Interface in libai.classifiers.dataset
Metaheuristic - Class in libai.ants.algorithms: This is the core class of the Ant Framework.
Metaheuristic() - Constructor for class libai.ants.algorithms.Metaheuristic: Constructor.
Metaheuristic(Enviroment) - Constructor for class libai.ants.algorithms.Metaheuristic: Constructor.
MIN - Static variable in class libai.fuzzy.operators.activation.ActivationMethod
MIN - Static variable in class libai.fuzzy.operators.AndMethod
MinMethod - Class in libai.fuzzy.operators: Created by kronenthaler on 08/05/2017.
MinMethod() - Constructor for class libai.fuzzy.operators.MinMethod
minUpdate - Variable in class libai.nn.supervised.backpropagation.ResilientBackpropagation
MMAS - Class in libai.ants.algorithms: This class belong to the core classes of the Ant Framework.
MMAS() - Constructor for class libai.ants.algorithms.MMAS: Constructor.
MMAS(Enviroment) - Constructor for class libai.ants.algorithms.MMAS: Constructor.
Modifier - Class in libai.fuzzy.modifiers: Created by kronenthaler on 14/05/2017.
Modifier() - Constructor for class libai.fuzzy.modifiers.Modifier
MOM - Static variable in class libai.fuzzy.defuzzifiers.Defuzzifier
MomentumBackpropagation - Class in libai.nn.supervised.backpropagation: Created by kronenthaler on 18/01/2017.
MomentumBackpropagation(double) - Constructor for class libai.nn.supervised.backpropagation.MomentumBackpropagation
MORE_OR_LESS - Static variable in class libai.fuzzy.modifiers.Modifier
MoreOrLess - Class in libai.fuzzy.modifiers: Created by kronenthaler on 14/05/2017.
MoreOrLess() - Constructor for class libai.fuzzy.modifiers.MoreOrLess
mostCommonLeaf - Variable in class libai.classifiers.trees.C45
mostCommonLeafFreq - Variable in class libai.classifiers.trees.C45
MultiLayerPerceptron - Class in libai.nn.supervised: Multi Layer Perceptron or MLP.
MultiLayerPerceptron(int[], Function[]) - Constructor for class libai.nn.supervised.MultiLayerPerceptron: Constructor.
MultiLayerPerceptron(int[], Function[], Random) - Constructor for class libai.nn.supervised.MultiLayerPerceptron: Constructor.
MultiLayerPerceptron(int[], Function[], Backpropagation) - Constructor for class libai.nn.supervised.MultiLayerPerceptron: Constructor.
MultiLayerPerceptron(int[], Function[], Backpropagation, Random) - Constructor for class libai.nn.supervised.MultiLayerPerceptron: Constructor.
multiply(double, Matrix) - Method in class libai.common.matrix.Matrix: Multiply this matrix by an scalar.
multiply(Matrix, Matrix) - Method in class libai.common.matrix.Matrix: Multiply two matrix.
multiplyAndAdd(double, Matrix, Matrix) - Method in class libai.common.matrix.Matrix: Return in result the value of (this*a + b) for each This(i,j)
mutate(double) - Method in class libai.genetics.chromosomes.BinaryChromosome: Flip a bit of the genes.
mutate(double) - Method in class libai.genetics.chromosomes.Chromosome: Change one gene of the chromosome
mutate(double) - Method in class libai.genetics.chromosomes.IntegerChromosome: Swap two position of the genes.
MySQLDataSet - Class in libai.classifiers.dataset
MySQLDataSet(Connection, String, int) - Constructor for class libai.classifiers.dataset.MySQLDataSet

N

NaiveBayes - Class in libai.classifiers.bayes
NaiveBayes() - Constructor for class libai.classifiers.bayes.NaiveBayes
name - Variable in class libai.classifiers.Attribute
name - Variable in class libai.fuzzy.FuzzyVariable
NeuralNetwork - Class in libai.nn: Neural network abstraction.
NeuralNetwork() - Constructor for class libai.nn.NeuralNetwork
NeuralNetwork(Random) - Constructor for class libai.nn.NeuralNetwork
neutral() - Method in class libai.fuzzy.operators.accumulation.Accumulation
neutral() - Method in class libai.fuzzy.operators.activation.ActivationMethod
neutral() - Method in class libai.fuzzy.operators.MaxMethod
neutral() - Method in class libai.fuzzy.operators.MinMethod
neutral() - Method in class libai.fuzzy.operators.Operator
neutral() - Method in class libai.fuzzy.operators.ProbOrMethod
neutral() - Method in class libai.fuzzy.operators.ProdMethod
nMinus - Variable in class libai.nn.supervised.backpropagation.ResilientBackpropagation
nn - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
NO_PRUNE - Static variable in class libai.classifiers.trees.C45
Node - Class in libai.ants: This class belong to the core classes of the Ant Framework.
Node(int, double, double) - Constructor for class libai.ants.Node: Constructor.
Not - Class in libai.fuzzy.modifiers: Created by kronenthaler on 14/05/2017.
Not() - Constructor for class libai.fuzzy.modifiers.Not
NOT - Static variable in class libai.fuzzy.modifiers.Modifier
nperlayer - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
nperlayer - Variable in class libai.nn.supervised.RBF
nPlus - Variable in class libai.nn.supervised.backpropagation.ResilientBackpropagation
numberOfAnts - Variable in class libai.ants.algorithms.Metaheuristic: Enviroment's number of ants local copy
numberOfAnts - Variable in class libai.ants.Enviroment
numberOfNodes - Variable in class libai.ants.algorithms.Metaheuristic: Enviroment's graph number of node

O

OCTAVE - libai.io.MatrixIO.Target: Saves the matrix in GNU Octave's binary (mat) format.
open(File) - Static method in class libai.fuzzy.FuzzyController
open(File) - Static method in class libai.nn.NeuralNetwork
open(InputStream) - Static method in class libai.fuzzy.FuzzyController
open(InputStream) - Static method in class libai.nn.NeuralNetwork
open(String) - Static method in class libai.fuzzy.FuzzyController
open(String) - Static method in class libai.nn.NeuralNetwork
OPENOFFICE - libai.io.MatrixIO.Target: Saves the matrix in a format that's compatible with the formula format of OpenOffice and LibreOffice.
Operator - Class in libai.fuzzy.operators: Created by kronenthaler on 08/05/2017.
Operator() - Constructor for class libai.fuzzy.operators.Operator
order - Variable in class libai.common.Shuffler
OrMethod - Class in libai.fuzzy.operators: Created by kronenthaler on 08/05/2017.
OrMethod() - Constructor for class libai.fuzzy.operators.OrMethod
output - Variable in class libai.classifiers.trees.C45
outputIndex - Variable in class libai.classifiers.bayes.NaiveBayes
outs - Variable in class libai.nn.supervised.LVQ
outs - Variable in class libai.nn.supervised.Perceptron
outs - Variable in class libai.nn.unsupervised.Competitive

P

paint(Graphics) - Method in interface libai.common.Plotter
Pair<V extends java.lang.Comparable<V>,K> - Class in libai.common: Pair class allows to keep two elements of possibly different types in the same structure and can be used for keep pairs key-value.
Pair(V, K) - Constructor for class libai.common.Pair: Constructor.
PARAM_C - Static variable in class libai.nn.supervised.SVM
PARAM_EPSILON - Static variable in class libai.nn.supervised.SVM
PARAM_TOLERANCE - Static variable in class libai.nn.supervised.SVM
Parameters - Variable in class libai.ants.algorithms.Metaheuristic: Hashtable that holds the parameters
params - Variable in class libai.classifiers.bayes.NaiveBayes
Perceptron - Class in libai.nn.supervised: Perceptron is the first trainable neural network proposed.
Perceptron(int, int) - Constructor for class libai.nn.supervised.Perceptron: Constructor.
Perceptron(int, int, Random) - Constructor for class libai.nn.supervised.Perceptron: Constructor.
Pheromones - Variable in class libai.ants.algorithms.Metaheuristic: Enviroment's pheromones matrix local copy
Pheromones - Variable in class libai.ants.Enviroment: The trail of pheromones which ants will use to make desicions about where to move next in the graph
pheromonesEvaporation() - Method in class libai.ants.algorithms.AntColonySystem
pheromonesEvaporation() - Method in class libai.ants.algorithms.AntSystem
pheromonesEvaporation() - Method in class libai.ants.algorithms.Metaheuristic: Evaporates the pheromone trail contained in the enviroment E according to some ACO algorithm specific logic
pheromonesEvaporation() - Method in class libai.ants.algorithms.MMAS
pheromonesEvaporationRate - Static variable in class libai.ants.algorithms.AntSystem: Holds the rate at which pheromones will evaporate in the pheromonesEvaporation() method
pheromonesEvaporationRate - Static variable in class libai.ants.algorithms.MMAS: Holds the rate at which pheromones will evaporate in the pheromonesEvaporation() method
pheromonesUpdate() - Method in class libai.ants.algorithms.AntColonySystem
pheromonesUpdate() - Method in class libai.ants.algorithms.AntQ
pheromonesUpdate() - Method in class libai.ants.algorithms.AntSystem
pheromonesUpdate() - Method in class libai.ants.algorithms.AntSystemRank
pheromonesUpdate() - Method in class libai.ants.algorithms.Metaheuristic: Updates the pheromone trail contained in the enviroment E according to some ACO algorithm specific logic
pheromonesUpdate() - Method in class libai.ants.algorithms.MMAS
phi - Variable in class libai.nn.supervised.Hebb
PIShape - Class in libai.fuzzy.sets: Fuzzy set representing a Pi-shaped function.
PIShape(double, double) - Constructor for class libai.fuzzy.sets.PIShape: Constructor.
PIShape(Node) - Constructor for class libai.fuzzy.sets.PIShape
plotter - Variable in class libai.nn.NeuralNetwork
Plotter - Interface in libai.common
Plus - Class in libai.fuzzy.modifiers: Created by kronenthaler on 14/05/2017.
Plus() - Constructor for class libai.fuzzy.modifiers.Plus
PLUS - Static variable in class libai.fuzzy.modifiers.Modifier
PolynomialKernel - Class in libai.common.kernels: Polynomial Kernel.
PolynomialKernel(double, double, double) - Constructor for class libai.common.kernels.PolynomialKernel
position(int, int) - Method in class libai.common.matrix.Matrix: Return the value on the position (i,j).
position(int, int, double) - Method in class libai.common.matrix.Matrix: Set the value v on the position (i,j).
Precondition - Class in libai.common: Created by kronenthaler on 09/03/2017.
Precondition() - Constructor for class libai.common.Precondition
print() - Method in class libai.classifiers.trees.C45: Print the tree over the standard output.
printSolution() - Method in class libai.ants.Ant: Prints the ant's current solution to the standard output
PROBOR - Static variable in class libai.fuzzy.operators.OrMethod
ProbOrMethod - Class in libai.fuzzy.operators: Created by kronenthaler on 08/05/2017.
ProbOrMethod() - Constructor for class libai.fuzzy.operators.ProbOrMethod
PROD - Static variable in class libai.fuzzy.operators.activation.ActivationMethod
PROD - Static variable in class libai.fuzzy.operators.AndMethod
ProdMethod - Class in libai.fuzzy.operators: Created by kronenthaler on 08/05/2017.
ProdMethod() - Constructor for class libai.fuzzy.operators.ProdMethod
progress - Variable in class libai.nn.NeuralNetwork
ProgressDisplay - Interface in libai.common
prune(DataSet, int) - Method in class libai.classifiers.trees.C45

Q

QUINLANS_PRUNE - Static variable in class libai.classifiers.trees.C45

R

r_0 - Static variable in class libai.ants.algorithms.AntColonySystem: Used to balance exploration and explotation.
random - Variable in class libai.common.Shuffler
random - Variable in class libai.genetics.chromosomes.BinaryChromosome
random - Variable in class libai.genetics.chromosomes.IntegerChromosome
random - Variable in class libai.nn.NeuralNetwork
random(int) - Static method in class libai.common.matrix.Column: New random column.
random(int) - Static method in class libai.common.matrix.Row: New random row.
random(int, boolean) - Static method in class libai.common.matrix.Column: New random column.
random(int, boolean) - Static method in class libai.common.matrix.Row: New random row.
random(int, boolean, Random) - Static method in class libai.common.matrix.Column: New random column.
random(int, boolean, Random) - Static method in class libai.common.matrix.Row: New random row.
random(int, int) - Static method in class libai.common.matrix.Matrix: Create a new Matrix filled with low random numbers.
random(int, int, boolean) - Static method in class libai.common.matrix.Matrix: Create a new Matrix filled with low random numbers.
random(int, int, boolean, Random) - Static method in class libai.common.matrix.Matrix: Create a new Matrix filled with low random numbers.
ratio - Variable in class libai.classifiers.trees.C45.GainInformation
RBF - Class in libai.nn.supervised: Radial Basis Function or RBF.
RBF(int[]) - Constructor for class libai.nn.supervised.RBF: Constructor.
RBF(int[], Random) - Constructor for class libai.nn.supervised.RBF: Constructor.
RectangularShape - Class in libai.fuzzy.sets: Fuzzy set representing a constant function, in the [a, b] interval.
RectangularShape(double, double) - Constructor for class libai.fuzzy.sets.RectangularShape: Constructor.
RectangularShape(Node) - Constructor for class libai.fuzzy.sets.RectangularShape
ResilientBackpropagation - Class in libai.nn.supervised.backpropagation: Created by kronenthaler on 18/01/2017.
ResilientBackpropagation() - Constructor for class libai.nn.supervised.backpropagation.ResilientBackpropagation
ResilientBackpropagation(double, double, double, double, double) - Constructor for class libai.nn.supervised.backpropagation.ResilientBackpropagation
riemmanSum(List<Point2D.Double>) - Method in class libai.fuzzy.defuzzifiers.CenterOfGravity
riemmanSum(List<Point2D.Double>, double) - Method in class libai.fuzzy.defuzzifiers.CenterOfGravity
RightGaussianShape - Class in libai.fuzzy.sets: Fuzzy set representing a gaussian function.
RightGaussianShape(double, double) - Constructor for class libai.fuzzy.sets.RightGaussianShape: Constructor.
RightGaussianShape(Node) - Constructor for class libai.fuzzy.sets.RightGaussianShape
RightLinearShape - Class in libai.fuzzy.sets: Fuzzy set representing a decreasing linear function, in the [a, b] interval.
RightLinearShape(double, double) - Constructor for class libai.fuzzy.sets.RightLinearShape: Constructor.
RightLinearShape(Node) - Constructor for class libai.fuzzy.sets.RightLinearShape
ro_1 - Static variable in class libai.ants.algorithms.AntColonySystem: r_1 is a number in the range [0,1].
ro_2 - Static variable in class libai.ants.algorithms.AntColonySystem: r_2 is a number in the range [0,1].
Row - Class in libai.common.matrix: Row class
Row(double[]) - Constructor for class libai.common.matrix.Row: Creates a new row
Row(int) - Constructor for class libai.common.matrix.Row: Creates a new row
Row(Row) - Constructor for class libai.common.matrix.Row: Copy constructor.
rows - Variable in class libai.common.matrix.Matrix: Number of rows and columns of the matrix.
Rule - Class in libai.fuzzy: Created by kronenthaler on 30/04/2017.
Rule(String, double, Operator, Antecedent, Consequent) - Constructor for class libai.fuzzy.Rule
Rule(String, double, Operator, Rule.Connector, Antecedent, Consequent) - Constructor for class libai.fuzzy.Rule
Rule(Node) - Constructor for class libai.fuzzy.Rule
RuleBase - Class in libai.fuzzy: Created by kronenthaler on 30/04/2017.
RuleBase(String, ActivationMethod, Operator, Operator, Rule...) - Constructor for class libai.fuzzy.RuleBase
RuleBase(String, ActivationMethod, Rule...) - Constructor for class libai.fuzzy.RuleBase
RuleBase(String, Rule...) - Constructor for class libai.fuzzy.RuleBase
RuleBase(Node) - Constructor for class libai.fuzzy.RuleBase

S

samplesCount - Variable in class libai.classifiers.trees.C45
samplesFreq - Variable in class libai.classifiers.trees.C45
save(File) - Method in class libai.classifiers.bayes.NaiveBayes
save(File) - Method in class libai.classifiers.trees.C45
save(String) - Method in class libai.ants.Graph
save(String) - Method in class libai.fuzzy.FuzzyController
save(String) - Method in class libai.nn.NeuralNetwork: Saves the neural network to the file in the given path
scale - Variable in class libai.fuzzy.FuzzyVariable
scale(int, int, double) - Method in class libai.common.matrix.Matrix: Scales the value of one position by v.
search(State) - Method in class libai.search.AStar
search(State) - Method in class libai.search.BFS
search(State) - Method in class libai.search.DFS
search(State) - Method in interface libai.search.Search: Do a search from the init state, until the current state becomes a solution (State.isSolution()) If the algorithm finds a solution return the current state as the solution.
Search - Interface in libai.search
second - Variable in class libai.common.Pair: Second element of the pair (the 'value').
second - Variable in class libai.common.Triplet: Second element of the tuple.
SERIAL - libai.io.MatrixIO.Target: Saves the matrix using the JVM serialization algorithm.
set(int, double) - Method in class libai.common.matrix.Column: Sets the value for a given row.
set(int, double) - Method in class libai.common.matrix.Row: Sets the value for a given column.
setAnts() - Method in class libai.ants.Enviroment: Sets the array of ants of this enviroment.
setAnts(int) - Method in class libai.ants.Enviroment: Sets both the number of ants and the array of ants
setChance(double) - Method in class libai.genetics.chromosomes.Chromosome
setConfidence(double) - Method in class libai.classifiers.trees.C45
setCurrentPos(int) - Method in class libai.ants.Ant: Sets the ant's current position
setE(Enviroment) - Method in class libai.ants.algorithms.Metaheuristic: Sets the enviroment
setError(int, double) - Method in interface libai.common.Plotter
setFileSource(String) - Method in class libai.ants.Graph: Sets the file source of the matrix to be loaded
setFitness(double) - Method in class libai.genetics.chromosomes.Chromosome
setFitnessReal(double) - Method in class libai.genetics.chromosomes.Chromosome
setGraph(Graph) - Method in class libai.ants.Enviroment
setMaximum(int) - Method in interface libai.common.ProgressDisplay
setMinimum(int) - Method in interface libai.common.ProgressDisplay
setName(String) - Method in class libai.classifiers.Attribute
setNumberOfAnts(int) - Method in class libai.ants.Enviroment: Sets the number of ants of this Enviroment
setNumberOfNodes(int) - Method in class libai.ants.algorithms.Metaheuristic: Sets the number of nodes of the graph problem
setParam(int, double) - Method in class libai.ants.algorithms.Metaheuristic: Sets a parameter
setPheromones(double) - Method in class libai.ants.Enviroment: Set the pheromones trail to a fix value received as parameter This function must be call only if the graph of the enviroment has already been set
setPheromones(Matrix) - Method in class libai.ants.Enviroment: Set the pheromones trail to something received as parameter
setPlotter(Plotter) - Method in class libai.nn.NeuralNetwork
setProgressBar(JProgressBar) - Method in class libai.genetics.Engine
setProgressBar(ProgressDisplay) - Method in class libai.nn.NeuralNetwork: Sets a ProgressDisplay to the NeuralNetwork.
setRow(int, double[]) - Method in class libai.common.matrix.Matrix: Replace one row of values of this matrix.
setSolution(List<Integer>) - Method in class libai.ants.Ant: Sets a Vector to be the ant's current solution
setTrainingParam(int, double) - Method in class libai.nn.supervised.SVM
setValue(double) - Method in class libai.common.matrix.Matrix: Set a value on each position of the matrix.
setValue(int) - Method in interface libai.common.ProgressDisplay
showAnts() - Method in class libai.ants.Enviroment: Prints the array of Ants to the standard output
shuffle() - Method in class libai.common.Shuffler
Shuffler - Class in libai.common: Created by kronenthaler on 19/03/2017.
Shuffler(int) - Constructor for class libai.common.Shuffler
Shuffler(int, Random) - Constructor for class libai.common.Shuffler
sigma - Variable in class libai.nn.supervised.RBF
Sigmoid - Class in libai.common.functions: Sigmoid function: f(x) = 1/(1+e^-x) The first derivate of the sigmoid function S(x) S'(x) = S(x)*(1-S(x))
Sigmoid() - Constructor for class libai.common.functions.Sigmoid
SigmoidalKernel - Class in libai.common.kernels: Sigmoid Kernel.
SigmoidalKernel(double, double) - Constructor for class libai.common.kernels.SigmoidalKernel
sign - Static variable in class libai.nn.supervised.Hebb
Sign - Class in libai.common.functions: Signum function F(x) = 0 if x < 0 or 1 if x >= 1 This function is not derivable.
Sign() - Constructor for class libai.common.functions.Sign
signum - Static variable in class libai.nn.supervised.Perceptron
simulate(Column) - Method in class libai.nn.NeuralNetwork: Calculates the output for the pattern.
simulate(Column) - Method in class libai.nn.supervised.Hebb
simulate(Column) - Method in class libai.nn.supervised.LVQ
simulate(Column) - Method in class libai.nn.supervised.MultiLayerPerceptron
simulate(Column) - Method in class libai.nn.supervised.Perceptron
simulate(Column) - Method in class libai.nn.supervised.RBF
simulate(Column) - Method in class libai.nn.supervised.SVM
simulate(Column) - Method in class libai.nn.unsupervised.Competitive
simulate(Column) - Method in class libai.nn.unsupervised.Hopfield
simulate(Column) - Method in class libai.nn.unsupervised.Kohonen
simulate(Column, Column) - Method in class libai.nn.NeuralNetwork: Calculates the output for the pattern and left the result in result.
simulate(Column, Column) - Method in class libai.nn.supervised.Adaline: Calculate the output for the pattern and left the result on result.
simulate(Column, Column) - Method in class libai.nn.supervised.Hebb: Calculate the output for the pattern and left the result on result.
simulate(Column, Column) - Method in class libai.nn.supervised.LVQ: Calculate the output for the pattern and left the result in result.
simulate(Column, Column) - Method in class libai.nn.supervised.MultiLayerPerceptron
simulate(Column, Column) - Method in class libai.nn.supervised.Perceptron: Calculate the output for the pattern and left the result on result.
simulate(Column, Column) - Method in class libai.nn.supervised.RBF
simulate(Column, Column) - Method in class libai.nn.supervised.SVM
simulate(Column, Column) - Method in class libai.nn.unsupervised.Competitive: Calculate the output for the pattern and left the result in result.
simulate(Column, Column) - Method in class libai.nn.unsupervised.Hopfield
simulate(Column, Column) - Method in class libai.nn.unsupervised.Kohonen
simulateNoChange(Matrix) - Method in class libai.nn.supervised.LVQ
simulateNoChange(Matrix) - Method in class libai.nn.unsupervised.Competitive
Sinc - Class in libai.common.functions: Function Sinc.
Sinc() - Constructor for class libai.common.functions.Sinc
SingletonShape - Class in libai.fuzzy.sets: Fuzzy set with only one value not equal to zero.
SingletonShape(double) - Constructor for class libai.fuzzy.sets.SingletonShape: Constructor.
SingletonShape(Node) - Constructor for class libai.fuzzy.sets.SingletonShape
solution - Variable in class libai.ants.Ant: Current Ant solution
solve() - Method in class libai.ants.algorithms.AntColonySystem
solve() - Method in class libai.ants.algorithms.AntSystem
solve() - Method in class libai.ants.algorithms.Metaheuristic: This is the body of the algorithm.
solve() - Method in class libai.ants.algorithms.MMAS
solve(Column) - Method in class libai.common.matrix.Matrix: Return the reduced echelon form of this matrix using the argument as a right hand side colum.
Somewhat - Class in libai.fuzzy.modifiers: Created by kronenthaler on 14/05/2017.
Somewhat() - Constructor for class libai.fuzzy.modifiers.Somewhat
SOMEWHAT - Static variable in class libai.fuzzy.modifiers.Modifier
sortAnts(Comparator<Ant>) - Method in class libai.ants.Enviroment
sortOver(int) - Method in interface libai.classifiers.dataset.DataSet: Sort the data set over the fieldIndex as primary key and the output index to break any ties.
sortOver(int) - Method in class libai.classifiers.dataset.MySQLDataSet
sortOver(int) - Method in class libai.classifiers.dataset.TextFileDataSet
sortOver(int, int, int) - Method in interface libai.classifiers.dataset.DataSet: Sort the data set over the fieldIndex as primary key and the output index to break any ties, and limit the elements to [lo, hi).
sortOver(int, int, int) - Method in class libai.classifiers.dataset.MySQLDataSet
sortOver(int, int, int) - Method in class libai.classifiers.dataset.TextFileDataSet
splitKeepingRelation(double) - Method in interface libai.classifiers.dataset.DataSet: Splits this data set into two new dataset where the proportion between the output classes is kept.
splitKeepingRelation(double) - Method in class libai.classifiers.dataset.MySQLDataSet
splitKeepingRelation(double) - Method in class libai.classifiers.dataset.TextFileDataSet
splitValue - Variable in class libai.classifiers.trees.C45.ContinuousEntropyInformation
SShape - Class in libai.fuzzy.sets: Fuzzy set representing a S-shape function.
SShape(double, double) - Constructor for class libai.fuzzy.sets.SShape: Constructor.
SShape(Node) - Constructor for class libai.fuzzy.sets.SShape
ssign - Static variable in class libai.nn.supervised.SVM
ssign - Static variable in class libai.nn.unsupervised.Hopfield
stagnationPoint() - Method in class libai.ants.algorithms.MMAS
StandardBackpropagation - Class in libai.nn.supervised.backpropagation: Created by kronenthaler on 08/01/2017.
StandardBackpropagation() - Constructor for class libai.nn.supervised.backpropagation.StandardBackpropagation
State - Class in libai.search
State() - Constructor for class libai.search.State
subclasses - Variable in class libai.nn.supervised.LVQ
subtract(Matrix, Matrix) - Method in class libai.common.matrix.Matrix: Subtract two matrices.
subtractAndCopy(Matrix, Matrix, Matrix) - Method in class libai.common.matrix.Matrix: Subtract the value of this with the value of b, and let the result on resultSubstract Also, copy the original value of this into resultCopy.
SUM - Static variable in class libai.fuzzy.operators.accumulation.Accumulation
SumMethod - Class in libai.fuzzy.operators.accumulation: Created by kronenthaler on 14/05/2017.
SumMethod() - Constructor for class libai.fuzzy.operators.accumulation.SumMethod
SupervisedLearning - Class in libai.nn.supervised: Created by kronenthaler on 19/03/2017.
SupervisedLearning(Random) - Constructor for class libai.nn.supervised.SupervisedLearning
SVM - Class in libai.nn.supervised: Implementation of the SVM using the SMO algorithm.
SVM(Kernel) - Constructor for class libai.nn.supervised.SVM
SVM(Kernel, Random) - Constructor for class libai.nn.supervised.SVM
swap(int, int) - Method in class libai.common.matrix.Matrix: Swaps two rows.
SymmetricSign - Class in libai.common.functions: Symmetric Signum function F(x) = -1 if x < 0 or 1 if x >= 1 This function is not derivable.
SymmetricSign() - Constructor for class libai.common.functions.SymmetricSign

T

tau_0 - Static variable in class libai.ants.algorithms.AntColonySystem: An small positive constant that reinforces pheromones on local paths.
tau_max - Static variable in class libai.ants.algorithms.MMAS: Maximun value for the pheromone trail
tau_min - Static variable in class libai.ants.algorithms.MMAS: Minimun value for the pheromone trail
terms - Variable in class libai.fuzzy.FuzzyVariable
TextFileDataSet - Class in libai.classifiers.dataset
TextFileDataSet(File, int) - Constructor for class libai.classifiers.dataset.TextFileDataSet
theWorst() - Method in interface libai.genetics.Fitness: the worst possible value OO or -OO
third - Variable in class libai.common.Triplet: Third element of the tuple.
toString() - Method in class libai.ants.Ant: Return the string representation of an ant.
toString() - Method in class libai.ants.Node: Return the string representation of this node.
toString() - Method in class libai.classifiers.ContinuousAttribute
toString() - Method in class libai.classifiers.dataset.MySQLDataSet
toString() - Method in class libai.classifiers.dataset.TextFileDataSet
toString() - Method in class libai.classifiers.DiscreteAttribute
toString() - Method in class libai.common.matrix.Matrix: Return the string representation of this matrix.
toString() - Method in class libai.common.Pair
toString() - Method in class libai.common.Triplet
toString() - Method in class libai.fuzzy.defuzzifiers.CenterOfArea
toString() - Method in class libai.fuzzy.defuzzifiers.CenterOfGravity
toString() - Method in class libai.fuzzy.defuzzifiers.MeanOfMaxima
toString() - Method in class libai.fuzzy.modifiers.Modifier
toString() - Method in class libai.fuzzy.modifiers.MoreOrLess
toString() - Method in class libai.fuzzy.operators.accumulation.MaxMethod
toString() - Method in class libai.fuzzy.operators.accumulation.SumMethod
toString() - Method in class libai.fuzzy.operators.activation.LarsenActivation
toString() - Method in class libai.fuzzy.operators.activation.MamdaniActivation
toString() - Method in class libai.fuzzy.operators.MaxMethod
toString() - Method in class libai.fuzzy.operators.MinMethod
toString() - Method in class libai.fuzzy.operators.ProbOrMethod
toString() - Method in class libai.fuzzy.operators.ProdMethod
toString() - Method in class libai.genetics.chromosomes.BinaryChromosome
toString() - Method in class libai.genetics.chromosomes.IntegerChromosome
toString(int) - Method in class libai.common.matrix.Matrix
totalCount - Variable in class libai.classifiers.bayes.NaiveBayes
toXMLString(String) - Method in class libai.fuzzy.Antecedent
toXMLString(String) - Method in class libai.fuzzy.Clause
toXMLString(String) - Method in class libai.fuzzy.Consequent
toXMLString(String) - Method in class libai.fuzzy.FuzzyController
toXMLString(String) - Method in class libai.fuzzy.FuzzyTerm
toXMLString(String) - Method in class libai.fuzzy.FuzzyVariable
toXMLString(String) - Method in class libai.fuzzy.KnowledgeBase
toXMLString(String) - Method in class libai.fuzzy.Rule
toXMLString(String) - Method in class libai.fuzzy.RuleBase
toXMLString(String) - Method in class libai.fuzzy.sets.SingletonShape
toXMLString(String) - Method in class libai.fuzzy.sets.TrapezoidShape
toXMLString(String) - Method in class libai.fuzzy.sets.TriangularShape
toXMLString(String) - Method in class libai.fuzzy.sets.TwoParameterSet
toXMLString(String) - Method in interface libai.fuzzy.XMLSerializer: Returns the XML representation of this Fuzzy set according with the FML schema definition.
train(DataSet) - Method in class libai.classifiers.bayes.NaiveBayes
train(DataSet) - Method in class libai.classifiers.trees.C45
train(Column[], double, int, int, int) - Method in class libai.nn.unsupervised.Competitive: Train the network using "the winner takes all".
train(Column[], double, int, int, int) - Method in class libai.nn.unsupervised.Hopfield: Train the network.
train(Column[], double, int, int, int) - Method in class libai.nn.unsupervised.Kohonen: Train the map.
train(Column[], double, int, int, int) - Method in class libai.nn.unsupervised.UnsupervisedLearning: Trains this neural network with the list of patterns and the expected answers.
train(Column[], Column[], double, int) - Method in class libai.nn.NeuralNetwork: Alias of train(patterns, answers, alpha, epochs, 0, patterns.length, 1.e-5).
train(Column[], Column[], double, int, int, int) - Method in class libai.nn.NeuralNetwork: Alias of train(patterns, answers, alpha, epochs, offset, length, 1.e-5).
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.NeuralNetwork: Trains this neural network with the list of patterns and the expected answers.
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.Adaline: Alias of super.train(patterns, answers, 2*alpha, epochs, offset, length, minerror);
train(Column[], Column[], double, int, int, int, double) - Method in interface libai.nn.supervised.backpropagation.Backpropagation: Trains a neural network using the backpropagation implementaion.
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.backpropagation.MomentumBackpropagation
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.backpropagation.ResilientBackpropagation
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.backpropagation.StandardBackpropagation
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.Hebb: Train the network using the Hebb's rule with decay.
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.LVQ: Train the network using a hybrid scheme.
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.MultiLayerPerceptron: Train the network using the standard backpropagation algorithm.
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.Perceptron: Train the perceptron using the standard update rule:
W = W + alpha.e.pattern^t
b = b + alpha.e
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.RBF: Train the network using a hybrid scheme.
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.supervised.SVM
train(Column[], Column[], double, int, int, int, double) - Method in class libai.nn.unsupervised.UnsupervisedLearning
transpose() - Method in class libai.common.matrix.Column
transpose() - Method in class libai.common.matrix.Matrix: Return the transpose of this matrix.
transpose() - Method in class libai.common.matrix.Row
transpose(Column) - Method in class libai.common.matrix.Row
transpose(Matrix) - Method in class libai.common.matrix.Matrix: Transpose this matrix and left the result on a.
transpose(Row) - Method in class libai.common.matrix.Column
TrapezoidShape - Class in libai.fuzzy.sets: Fuzzy set representing a trapezoid function.
TrapezoidShape(double, double, double, double) - Constructor for class libai.fuzzy.sets.TrapezoidShape: Constructor.
TrapezoidShape(Node) - Constructor for class libai.fuzzy.sets.TrapezoidShape
TriangularShape - Class in libai.fuzzy.sets: Fuzzy set representing a triangular function.
TriangularShape(double, double, double) - Constructor for class libai.fuzzy.sets.TriangularShape: Constructor.
TriangularShape(Node) - Constructor for class libai.fuzzy.sets.TriangularShape
Triplet<V extends java.lang.Comparable,K extends java.lang.Comparable,Z extends java.lang.Comparable> - Class in libai.common
Triplet(V, K, Z) - Constructor for class libai.common.Triplet: Constructor.
TSV - libai.io.MatrixIO.Target: Saves the matrix in tsv (tab separated values) format.
TwoParameterSet - Class in libai.fuzzy.sets: Abstraction of a 2-parameter set.
TwoParameterSet() - Constructor for class libai.fuzzy.sets.TwoParameterSet
type - Variable in class libai.fuzzy.FuzzyVariable

U

u - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
UnsupervisedLearning - Class in libai.nn.unsupervised: Created by kronenthaler on 19/03/2017.
UnsupervisedLearning() - Constructor for class libai.nn.unsupervised.UnsupervisedLearning
UnsupervisedLearning(Random) - Constructor for class libai.nn.unsupervised.UnsupervisedLearning
update(Graphics) - Method in interface libai.common.Plotter

V

validatePreconditions(Column[], int, int, int) - Method in class libai.nn.unsupervised.UnsupervisedLearning
validatePreconditions(Column[], Column[], int, int, int, double) - Method in class libai.nn.supervised.SupervisedLearning
validatePreconditions(Column[], Column[], int, int, int, double) - Method in class libai.nn.supervised.SVM
valueOf(String) - Static method in enum libai.io.MatrixIO.Target: Returns the enum constant of this type with the specified name.
values() - Static method in enum libai.io.MatrixIO.Target: Returns an array containing the constants of this enum type, in the order they are declared.
Very - Class in libai.fuzzy.modifiers: Created by kronenthaler on 14/05/2017.
Very() - Constructor for class libai.fuzzy.modifiers.Very
VERY - Static variable in class libai.fuzzy.modifiers.Modifier

W

W - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
W - Variable in class libai.nn.supervised.Hebb
W - Variable in class libai.nn.supervised.LVQ
W - Variable in class libai.nn.supervised.Perceptron
W - Variable in class libai.nn.unsupervised.Competitive
W - Variable in class libai.nn.unsupervised.Hopfield
W2 - Variable in class libai.nn.supervised.LVQ
write(OutputStream, Map<String, Matrix>) - Static method in class libai.io.MatrixIO
write(OutputStream, Map<String, Matrix>, MatrixIO.Target) - Static method in class libai.io.MatrixIO: Writes a set of Matrix objects to a given OutputStream.

Note: When saving to MatrixIO.Target.CSV and MatrixIO.Target.TSV, a line separator \n will be inserted between matrices Note 2: Since Java doesn't support deserializing multiple objects from the same OutputStream if target is MatrixIO.Target.SERIAL then the whole Map will be serialized.
write(OutputStream, Matrix) - Static method in class libai.io.MatrixIO
write(OutputStream, Matrix, MatrixIO.Target) - Static method in class libai.io.MatrixIO: Writes a Matrix object to a given OutputStream.

Note: if the target is MatrixIO.Target.OCTAVE then the default variable name will be 'a'.

X

XMLSerializer - Interface in libai.fuzzy: Created by kronenthaler on 23/04/2017.

Y

Y - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation
Yt - Variable in class libai.nn.supervised.backpropagation.StandardBackpropagation

Z

z - Variable in class libai.classifiers.trees.C45
ZShape - Class in libai.fuzzy.sets: Fuzzy set representing a Z-shape function.
ZShape(double, double) - Constructor for class libai.fuzzy.sets.ZShape: Constructor.
ZShape(Node) - Constructor for class libai.fuzzy.sets.ZShape

A B C D E F G H I K L M N O P Q R S T U V W X Y Z