org.neuroph.nnet.learning

Class QuickPropagation

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.QuickPropagation

All Implemented Interfaces:

Serializable

public class QuickPropagation
extends BackPropagation

Author:

Mladen

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	QuickPropagation.QuickPropData

Field Summary

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
QuickPropagation()

Method Summary

Modifier and Type	Method and Description
protected void	onStart() This method is executed when learning starts, before the first epoch.
void	updateNeuronWeights(Neuron neuron) This method implements weights update procedure for the single neuron It iterates through all neuron's input connections, and calculates/set weight change for each weight using formula deltaWeight = learningRate * neuronError * input where neuronError is difference between desired and actual output for specific neuron neuronError = desiredOutput[i] - actualOutput[i] (see method SuprevisedLearning.calculateOutputError)

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

calculateErrorAndUpdateHiddenNeurons, calculateErrorAndUpdateOutputNeurons, calculateHiddenNeuronError, 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

QuickPropagation

public QuickPropagation()

Method Detail

updateNeuronWeights

public void updateNeuronWeights(Neuron neuron)

Description copied from class: LMS

This method implements weights update procedure for the single neuron It iterates through all neuron's input connections, and calculates/set weight change for each weight using formula deltaWeight = learningRate * neuronError * input where neuronError is difference between desired and actual output for specific neuron neuronError = desiredOutput[i] - actualOutput[i] (see method SuprevisedLearning.calculateOutputError)

Overrides:

updateNeuronWeights in class LMS

Parameters:

neuron - neuron to update weights

See Also:

LMS.calculateWeightChanges(double[])

onStart

protected void onStart()

Description copied from class: IterativeLearning

This method is executed when learning starts, before the first epoch. Used for initialisation.

Overrides:

onStart in class SupervisedLearning