org.neuroph.nnet.learning

Class GeneralizedHebbianLearning

java.lang.Object

org.neuroph.core.learning.LearningRule

org.neuroph.core.learning.IterativeLearning

org.neuroph.core.learning.UnsupervisedLearning

org.neuroph.nnet.learning.UnsupervisedHebbianLearning

org.neuroph.nnet.learning.GeneralizedHebbianLearning

All Implemented Interfaces:

java.io.Serializable

public class GeneralizedHebbianLearning
extends UnsupervisedHebbianLearning

A variant of Hebbian learning called Generalized Hebbian learning. Weight change is calculated using formula deltaWeight = (input - netInput) * output * learningRate

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
GeneralizedHebbianLearning()

Method Summary

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

doLearningEpoch

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

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

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

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

Methods inherited from class java.lang.Object

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

Constructor Detail

GeneralizedHebbianLearning

public GeneralizedHebbianLearning()