aima.learning.statistics
Class StandardBackPropogation

java.lang.Object
  aima.learning.statistics.StandardBackPropogation

All Implemented Interfaces:

NeuralNetworkTrainingScheme

public class StandardBackPropogation
extends java.lang.Object
implements NeuralNetworkTrainingScheme

Constructor Summary

StandardBackPropogation()

Method Summary

void	backPropogate(FeedForwardNetwork network, java.util.List<java.lang.Double> input, java.util.List<java.lang.Double> correctOutput)
java.util.List<java.lang.Double>	delta(Layer l)
double	error(java.util.List<java.lang.Double> expectedOutput, FeedForwardNetwork network)
void	updateWeightsAndBiases(FeedForwardNetwork network)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

StandardBackPropogation

public StandardBackPropogation()

Method Detail

backPropogate

public void backPropogate(FeedForwardNetwork network,
                          java.util.List<java.lang.Double> input,
                          java.util.List<java.lang.Double> correctOutput)

Specified by:

backPropogate in interface NeuralNetworkTrainingScheme

delta

public java.util.List<java.lang.Double> delta(Layer l)

updateWeightsAndBiases

public void updateWeightsAndBiases(FeedForwardNetwork network)

Specified by:

updateWeightsAndBiases in interface NeuralNetworkTrainingScheme

error

public double error(java.util.List<java.lang.Double> expectedOutput,
                    FeedForwardNetwork network)

Specified by:

error in interface NeuralNetworkTrainingScheme