org.neuroph.nnet.learning

Class BackPropagation

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.BackPropagation

All Implemented Interfaces:

java.io.Serializable

Direct Known Subclasses:

ManhattanPropagation, MomentumBackpropagation, QuickPropagation, ResilientPropagation

public class BackPropagation
extends LMS

Back Propagation learning rule for Multi Layer Perceptron neural networks.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BackPropagation() Creates new instance of BackPropagation learning

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

BackPropagation

public BackPropagation()

Creates new instance of BackPropagation learning