aima.core.learning.neural

Class BackPropLearning

java.lang.Object

aima.core.learning.neural.BackPropLearning

All Implemented Interfaces:

NNTrainingScheme

public class BackPropLearning
extends java.lang.Object
implements NNTrainingScheme

Author:

Ravi Mohan

Constructor Summary

Constructors

Constructor and Description
BackPropLearning(double learningRate, double momentum)

Method Summary

Modifier and Type	Method and Description
static Vector	calculateBiasUpdates(LayerSensitivity layerSensitivity, double alpha)
Vector	calculateBiasUpdates(LayerSensitivity layerSensitivity, double alpha, double momentum)
static Matrix	calculateWeightUpdates(LayerSensitivity layerSensitivity, Vector previousLayerActivationOrInput, double alpha)
Matrix	calculateWeightUpdates(LayerSensitivity layerSensitivity, Vector previousLayerActivationOrInput, double alpha, double momentum)
void	processError(FeedForwardNeuralNetwork network, Vector error)
Vector	processInput(FeedForwardNeuralNetwork network, Vector input)
void	setNeuralNetwork(FunctionApproximator fapp)

Methods inherited from class java.lang.Object

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

Constructor Detail

BackPropLearning

public BackPropLearning(double learningRate,
                        double momentum)

Method Detail

setNeuralNetwork

public void setNeuralNetwork(FunctionApproximator fapp)

Specified by:

setNeuralNetwork in interface NNTrainingScheme

processInput

public Vector processInput(FeedForwardNeuralNetwork network,
                           Vector input)

Specified by:

processInput in interface NNTrainingScheme

processError

public void processError(FeedForwardNeuralNetwork network,
                         Vector error)

Specified by:

processError in interface NNTrainingScheme

calculateWeightUpdates

public Matrix calculateWeightUpdates(LayerSensitivity layerSensitivity,
                                     Vector previousLayerActivationOrInput,
                                     double alpha,
                                     double momentum)

calculateWeightUpdates

public static Matrix calculateWeightUpdates(LayerSensitivity layerSensitivity,
                                            Vector previousLayerActivationOrInput,
                                            double alpha)

calculateBiasUpdates

public Vector calculateBiasUpdates(LayerSensitivity layerSensitivity,
                                   double alpha,
                                   double momentum)

calculateBiasUpdates

public static Vector calculateBiasUpdates(LayerSensitivity layerSensitivity,
                                          double alpha)