org.neuroph.nnet.learning

Class BinaryDeltaRule

java.lang.Object

org.neuroph.core.learning.LearningRule

org.neuroph.core.learning.IterativeLearning

org.neuroph.core.learning.SupervisedLearning

org.neuroph.nnet.learning.LMS

org.neuroph.nnet.learning.PerceptronLearning

org.neuroph.nnet.learning.BinaryDeltaRule

All Implemented Interfaces:

Serializable

public class BinaryDeltaRule
extends PerceptronLearning

Delta rule learning algorithm for perceptrons with step functions. The difference to Perceptronlearning is that Delta Rule calculates error before the non-lnear step transfer function

Author:

Zoran Sevarac

See Also:

Serialized Form

Field Summary

Fields inherited from class org.neuroph.core.learning.SupervisedLearning

maxError, previousEpochError

Fields inherited from class org.neuroph.core.learning.IterativeLearning

currentIteration, learningRate, stopConditions

Fields inherited from class org.neuroph.core.learning.LearningRule

listeners, neuralNetwork, trainingSet

Constructor Summary

Constructors

Constructor and Description
BinaryDeltaRule() Creates new BinaryDeltaRule learning

Method Summary

Modifier and Type	Method and Description
protected void	calculateWeightChanges(double[] patternError) This method implements weight update procedure for the whole network for this learning rule
double	getErrorCorrection() Gets the errorCorrection parametar
void	setErrorCorrection(double errorCorrection) Sets the errorCorrection parametar

Methods inherited from class org.neuroph.nnet.learning.PerceptronLearning

calculateWeightChanges

Methods inherited from class org.neuroph.core.learning.SupervisedLearning

afterEpoch, beforeEpoch, doBatchWeightsUpdate, doLearningEpoch, getErrorFunction, getMaxError, getMinErrorChange, getMinErrorChangeIterationsCount, getMinErrorChangeIterationsLimit, getPreviousEpochError, getTotalNetworkError, isBatchMode, learn, learn, learnPattern, onStart, setBatchMode, setErrorFunction, setMaxError, setMinErrorChange, setMinErrorChangeIterationsLimit

Methods inherited from class org.neuroph.core.learning.IterativeLearning

doOneLearningIteration, getCurrentIteration, getLearningRate, getMaxIterations, hasReachedStopCondition, isIterationsLimited, isPausedLearning, learn, learn, pause, resume, setLearningRate, setMaxIterations

Methods inherited from class org.neuroph.core.learning.LearningRule

addListener, fireLearningEvent, getNeuralNetwork, getTrainingSet, isStopped, onStop, removeListener, setNeuralNetwork, setTrainingSet, stopLearning

Methods inherited from class java.lang.Object

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

Constructor Detail

BinaryDeltaRule

public BinaryDeltaRule()

Creates new BinaryDeltaRule learning

Method Detail

calculateWeightChanges

protected void calculateWeightChanges(double[] patternError)

This method implements weight update procedure for the whole network for this learning rule

Overrides:

calculateWeightChanges in class LMS

Parameters:

patternError - single pattern error vector if the output is 0 and required value is 1, increase rthe weights if the output is 1 and required value is 0, decrease the weights otherwice leave weights unchanged

See Also:

learnPattern

getErrorCorrection

public double getErrorCorrection()

Gets the errorCorrection parametar

Returns:

errorCorrection parametar

setErrorCorrection

public void setErrorCorrection(double errorCorrection)

Sets the errorCorrection parametar

Parameters:

errorCorrection - the value for errorCorrection parametar