org.neuroph.nnet.learning

Class SigmoidDeltaRule

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.SigmoidDeltaRule

All Implemented Interfaces:

Serializable

public class SigmoidDeltaRule
extends LMS

Delta rule learning algorithm for perceptrons with sigmoid (or any other diferentiable continuous) functions. TODO: Rename to DeltaRuleContinuous (ContinuousDeltaRule) or something like that, but that will break backward compatibility, posibly with backpropagation which is the most used

Author:

Zoran Sevarac

See Also:

LMS, 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
SigmoidDeltaRule() Creates new SigmoidDeltaRule

Method Summary

Modifier and Type	Method and Description
protected void	calculateWeightChanges(double[] outputError) This method implements weight update procedure for the whole network for this learning rule

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

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

SigmoidDeltaRule

public SigmoidDeltaRule()

Creates new SigmoidDeltaRule

Method Detail

calculateWeightChanges

protected void calculateWeightChanges(double[] outputError)

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

Overrides:

calculateWeightChanges in class LMS

Parameters:

outputError - output error vector

See Also:

learnPattern