org.neuroph.nnet.learning

Class ConvolutionalBackpropagation

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

org.neuroph.nnet.learning.MomentumBackpropagation

org.neuroph.nnet.learning.ConvolutionalBackpropagation

All Implemented Interfaces:

Serializable

public class ConvolutionalBackpropagation
extends MomentumBackpropagation

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class org.neuroph.nnet.learning.MomentumBackpropagation

MomentumBackpropagation.MomentumTrainingData

Field Summary

Fields inherited from class org.neuroph.nnet.learning.MomentumBackpropagation

momentum

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
ConvolutionalBackpropagation()

Method Summary

Modifier and Type	Method and Description
protected void	calculateErrorAndUpdateHiddenNeurons() This method implements weights adjustment for the hidden layers Uses parallel processing on each layer with 100 or more neurons and a regular loop if less.
protected double	calculateHiddenNeuronError(Neuron neuron) Calculates and returns the neuron's error (neuron's delta) for the given neuron param

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

calculateWeightChanges, getMomentum, onStart, setMomentum

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

calculateErrorAndUpdateOutputNeurons, 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, 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

ConvolutionalBackpropagation

public ConvolutionalBackpropagation()

Method Detail

calculateErrorAndUpdateHiddenNeurons

protected void calculateErrorAndUpdateHiddenNeurons()

Description copied from class: MomentumBackpropagation

This method implements weights adjustment for the hidden layers Uses parallel processing on each layer with 100 or more neurons and a regular loop if less.

Overrides:

calculateErrorAndUpdateHiddenNeurons in class MomentumBackpropagation

calculateHiddenNeuronError

protected double calculateHiddenNeuronError(Neuron neuron)

Description copied from class: BackPropagation

Calculates and returns the neuron's error (neuron's delta) for the given neuron param

Overrides:

calculateHiddenNeuronError in class BackPropagation

Parameters:

neuron - neuron to calculate error for

Returns:

neuron error (delta) for the specified neuron