Package libai.nn.supervised.backpropagation

Class ResilientBackpropagation

java.lang.Object

libai.nn.supervised.backpropagation.StandardBackpropagation

libai.nn.supervised.backpropagation.ResilientBackpropagation

All Implemented Interfaces:

Backpropagation

public class ResilientBackpropagation
extends StandardBackpropagation

Created by kronenthaler on 18/01/2017.

Field Summary

Fields

Modifier and Type	Field	Description
protected double	initialUpdate
protected double	maxUpdate
protected double	minUpdate
protected double	nMinus
protected double	nPlus

Fields inherited from class libai.nn.supervised.backpropagation.StandardBackpropagation

b, d, func, layers, M, nn, nperlayer, u, W, Y, Yt

Constructor Summary

Constructors

Constructor	Description
ResilientBackpropagation()
ResilientBackpropagation(double nPlus, double nMinus, double minUpdate, double maxUpdate, double initialUpdate)

Method Summary

Modifier and Type	Method	Description
void	train(Column[] patterns, Column[] answers, double alpha, int epochs, int offset, int length, double minerror)	Trains a neural network using the backpropagation implementaion.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from class libai.nn.supervised.backpropagation.StandardBackpropagation

initialize

Field Detail

nPlus

protected double nPlus

nMinus

protected double nMinus

minUpdate

protected double minUpdate

maxUpdate

protected double maxUpdate

initialUpdate

protected double initialUpdate

Constructor Detail

ResilientBackpropagation

public ResilientBackpropagation()

ResilientBackpropagation

public ResilientBackpropagation(double nPlus,
                                double nMinus,
                                double minUpdate,
                                double maxUpdate,
                                double initialUpdate)

Method Detail

train

public void train(Column[] patterns,
                  Column[] answers,
                  double alpha,
                  int epochs,
                  int offset,
                  int length,
                  double minerror)

Description copied from interface: Backpropagation

Trains a neural network using the backpropagation implementaion.

Specified by:

train in interface Backpropagation

Overrides:

train in class StandardBackpropagation