org.neuroph.nnet.learning

Class LMS

java.lang.Object

org.neuroph.core.learning.LearningRule

org.neuroph.core.learning.IterativeLearning

org.neuroph.core.learning.SupervisedLearning

org.neuroph.nnet.learning.LMS

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

BackPropagation, PerceptronLearning, RBFLearning, SigmoidDeltaRule, SupervisedHebbianLearning

public class LMS
extends SupervisedLearning
implements java.io.Serializable

LMS learning rule for neural networks. This learning rule is used to train Adaline neural network, and this class is base for all LMS based learning rules like PerceptronLearning, DeltaRule, SigmoidDeltaRule, Backpropagation etc.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LMS() Creates a new LMS learning rule

Method Summary

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

doLearningEpoch, getErrorFunction, getMaxError, getMinErrorChange, getMinErrorChangeIterationsCount, getMinErrorChangeIterationsLimit, getPreviousEpochError, getTotalNetworkError, isBatchMode, learn, learn, setBatchMode, setErrorFunction, setMaxError, setMinErrorChange, setMinErrorChangeIterationsLimit

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

LMS

public LMS()

Creates a new LMS learning rule