org.jdmp.core.algorithm.classification.mlp

Class NetworkLayer

java.lang.Object

org.jdmp.core.algorithm.classification.mlp.NetworkLayer

All Implemented Interfaces:

Serializable

public class NetworkLayer
extends Object
implements Serializable

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
NetworkLayer(MultiLayerNetwork.Aggregation aggregationFunction, MultiLayerNetwork.Transfer transferFunction, MultiLayerNetwork.BiasType biasType)
NetworkLayer(MultiLayerNetwork.Aggregation aggregationFunction, MultiLayerNetwork.Transfer transferFunction, MultiLayerNetwork.BiasType biasType, int neuronCount)

Method Summary

Methods

Modifier and Type	Method and Description
void	addInputMatrix(Matrix matrix)
void	calculateBackward()
void	calculateForward()
void	calculateWeightUpdate()
void	createVariablesIfNecessary()
NetworkLayerBackward	getAlgorithmBackward()
NetworkLayerForward	getAlgorithmForward()
WeightUpdate	getAlgorithmWeightUpdate()
Variable	getInputDeviationVariable()
Variable	getInputVariable()
String	getLabel()
double	getLearningRate()
int	getNeuronCount()
NetworkLayer	getNextLayer()
Variable	getOutputDeviationVariable()
Variable	getOutputVariable()
NetworkLayer	getPreviousLayer()
Variable	getWeightVariable()
void	reset()
void	setAlgorithmBackward(NetworkLayerBackward algorithmBackward)
void	setAlgorithmForward(NetworkLayerForward algorithmForward)
void	setInputVariable(Variable v)
void	setLayer(int nr)
void	setLearningRate(double v)
void	setNextLayer(NetworkLayer nextLayer)
void	setOutputDeviationVariable(Variable v)
void	setOutputVariable(Variable v)
void	setPreviousLayer(NetworkLayer previousLayer)
void	setSampleWeight(double v)
void	setWeightVariable(Variable weight)
String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

NetworkLayer

public NetworkLayer(MultiLayerNetwork.Aggregation aggregationFunction,
            MultiLayerNetwork.Transfer transferFunction,
            MultiLayerNetwork.BiasType biasType)

NetworkLayer

public NetworkLayer(MultiLayerNetwork.Aggregation aggregationFunction,
            MultiLayerNetwork.Transfer transferFunction,
            MultiLayerNetwork.BiasType biasType,
            int neuronCount)

Method Detail

setLayer

public void setLayer(int nr)

getAlgorithmBackward

public NetworkLayerBackward getAlgorithmBackward()

setLearningRate

public void setLearningRate(double v)

getLearningRate

public double getLearningRate()

setSampleWeight

public void setSampleWeight(double v)

getAlgorithmWeightUpdate

public WeightUpdate getAlgorithmWeightUpdate()

setAlgorithmBackward

public void setAlgorithmBackward(NetworkLayerBackward algorithmBackward)

getAlgorithmForward

public NetworkLayerForward getAlgorithmForward()

setAlgorithmForward

public void setAlgorithmForward(NetworkLayerForward algorithmForward)

getNextLayer

public NetworkLayer getNextLayer()

setNextLayer

public void setNextLayer(NetworkLayer nextLayer)

getPreviousLayer

public NetworkLayer getPreviousLayer()

setPreviousLayer

public void setPreviousLayer(NetworkLayer previousLayer)

getInputDeviationVariable

public Variable getInputDeviationVariable()

setWeightVariable

public void setWeightVariable(Variable weight)

calculateForward

public void calculateForward()

calculateBackward

public void calculateBackward()

calculateWeightUpdate

public void calculateWeightUpdate()

getWeightVariable

public Variable getWeightVariable()

createVariablesIfNecessary

public void createVariablesIfNecessary()

getLabel

public String getLabel()

reset

public void reset()

toString

public String toString()

Overrides:

toString in class Object

getNeuronCount

public int getNeuronCount()

setInputVariable

public void setInputVariable(Variable v)

setOutputDeviationVariable

public void setOutputDeviationVariable(Variable v)

setOutputVariable

public void setOutputVariable(Variable v)

getInputVariable

public Variable getInputVariable()

getOutputDeviationVariable

public Variable getOutputDeviationVariable()

getOutputVariable

public Variable getOutputVariable()

addInputMatrix

public void addInputMatrix(Matrix matrix)