org.neuroph.core.learning

Class UnsupervisedLearning

java.lang.Object

org.neuroph.core.learning.LearningRule

org.neuroph.core.learning.IterativeLearning

org.neuroph.core.learning.UnsupervisedLearning

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

CompetitiveLearning, UnsupervisedHebbianLearning

public abstract class UnsupervisedLearning
extends IterativeLearning
implements java.io.Serializable

Base class for all unsupervised learning algorithms.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
UnsupervisedLearning() Creates new unsupervised learning rule

Method Summary

Modifier and Type	Method and Description
void	doLearningEpoch(DataSet trainingSet) This method does one learning epoch for the unsupervised learning rules.

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

UnsupervisedLearning

public UnsupervisedLearning()

Creates new unsupervised learning rule

Method Detail

doLearningEpoch

public void doLearningEpoch(DataSet trainingSet)

This method does one learning epoch for the unsupervised learning rules. It iterates through the training set and trains network weights for each element

Specified by:

doLearningEpoch in class IterativeLearning

Parameters:

trainingSet - training set for training network