keel.Algorithms.Neural_Networks.NNEP_Common.neuralnet

Class AbstractNeuralNet

java.lang.Object

keel.Algorithms.Neural_Networks.NNEP_Common.neuralnet.AbstractNeuralNet

All Implemented Interfaces:

INeuralNet

Direct Known Subclasses:

NeuralNetClassifier, NeuralNetRegressor

public abstract class AbstractNeuralNet
extends java.lang.Object
implements INeuralNet

Implementation of a neural net

Since:

JDK1.5

Version:

0.1

Author:

Written by Pedro Antonio Gutierrez Penya, Aaron Ruiz Mora (University of Cordoba) 17/07/2007

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.ArrayList<LinkedLayer>	hiddenLayers Hidden layer
protected InputLayer	inputLayer Input layer
protected LinkedLayer	outputLayer Ouput layer
protected static <any>	XML Marshal/Unmarshal input layer, hidden layers and output layer

Constructor Summary

Constructors

Constructor and Description
AbstractNeuralNet() Empty constructor

Method Summary

Modifier and Type	Method and Description
void	addHlayer(LinkedLayer layer) Adds a new layer to the neural net
INeuralNet	copy() Returns a copy of this neural net
boolean	equals(INeuralNet other) Checks if this neural net is equal to another
LinkedLayer	getHlayer(int index) Returns a specific hidden layer of the neural net
InputLayer	getInputLayer() Returns the input layer of this neural net
int	getNofhlayers() Returns the number of hidden layers of the neural net
int	getNofhneurons() Returns the number of hidden neurons of this neural net
int	getNoflinks() Returns the number of effective links of this neural net
LinkedLayer	getOutputLayer() Returns the output layer of this neural net
int	hashCode() Returns an integer number that identifies the neural net
void	keepRelevantLinks(double significativeWeight) Keep relevant links, that is, those links whose weight is higher than certain number
boolean	linksEmpty() Checks if this neural net is empty of links
boolean	linksFull() Checks if this neural net is full of links
boolean	neuronsEmpty() Checks if this neural net is empty of neurons
boolean	neuronsFull() Checks if this neural net is full of neurons
void	setInputLayer(InputLayer inputLayer) Sets the input layer of this neural net
void	setOutputLayer(LinkedLayer outputLayer) Sets the output layer of this neural net
java.lang.String	toString() Returns a string representation of the neural net

Methods inherited from class java.lang.Object

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

Field Detail

XML

protected static final <any> XML

Marshal/Unmarshal input layer, hidden layers and output layer

inputLayer

protected InputLayer inputLayer

Input layer

hiddenLayers

protected java.util.ArrayList<LinkedLayer> hiddenLayers

Hidden layer

outputLayer

protected LinkedLayer outputLayer

Ouput layer

Constructor Detail

AbstractNeuralNet

public AbstractNeuralNet()

Empty constructor

Method Detail

getNofhlayers

public int getNofhlayers()

Returns the number of hidden layers of the neural net

Specified by:

getNofhlayers in interface INeuralNet

Returns:

int Number of hidden layers

getInputLayer

public InputLayer getInputLayer()

Returns the input layer of this neural net

Specified by:

getInputLayer in interface INeuralNet

Returns:

InputLayer Input layer of the net

setInputLayer

public void setInputLayer(InputLayer inputLayer)

Sets the input layer of this neural net

Specified by:

setInputLayer in interface INeuralNet

Parameters:

inputLayer - New input layer of the net

addHlayer

public void addHlayer(LinkedLayer layer)

Adds a new layer to the neural net

Specified by:

addHlayer in interface INeuralNet

Parameters:

layer - New layer

getHlayer

public LinkedLayer getHlayer(int index)

Returns a specific hidden layer of the neural net

Specified by:

getHlayer in interface INeuralNet

Parameters:

index - Number of layer to return

Returns:

LinkedLayer Hidden layer

getOutputLayer

public LinkedLayer getOutputLayer()

Returns the output layer of this neural net

Specified by:

getOutputLayer in interface INeuralNet

Returns:

LinkedLayer Output layer of the net

setOutputLayer

public void setOutputLayer(LinkedLayer outputLayer)

Sets the output layer of this neural net

Specified by:

setOutputLayer in interface INeuralNet

Parameters:

outputLayer - New output layer of the net

equals

public boolean equals(INeuralNet other)

Checks if this neural net is equal to another

Specified by:

equals in interface INeuralNet

Parameters:

other - Other neural net to compare

Returns:

true if both neural nets are equals

hashCode

public int hashCode()

Returns an integer number that identifies the neural net

Specified by:

hashCode in interface INeuralNet

Overrides:

hashCode in class java.lang.Object

Returns:

int Hashcode

neuronsFull

public boolean neuronsFull()

Checks if this neural net is full of neurons

Specified by:

neuronsFull in interface INeuralNet

Returns:

true if the neural net is full of neurons

neuronsEmpty

public boolean neuronsEmpty()

Checks if this neural net is empty of neurons

Specified by:

neuronsEmpty in interface INeuralNet

Returns:

true if the neural net is empty of neurons

linksFull

public boolean linksFull()

Checks if this neural net is full of links

Specified by:

linksFull in interface INeuralNet

Returns:

true if the neural net is full of links

linksEmpty

public boolean linksEmpty()

Checks if this neural net is empty of links

Specified by:

linksEmpty in interface INeuralNet

Returns:

true if the neural net is empty of links

getNofhneurons

public int getNofhneurons()

Returns the number of hidden neurons of this neural net

Specified by:

getNofhneurons in interface INeuralNet

Returns:

int Number of hidden neurons

getNoflinks

public int getNoflinks()

Returns the number of effective links of this neural net

Specified by:

getNoflinks in interface INeuralNet

Returns:

int Number of effective links

keepRelevantLinks

public void keepRelevantLinks(double significativeWeight)

Keep relevant links, that is, those links whose weight is higher than certain number

Specified by:

keepRelevantLinks in interface INeuralNet

Parameters:

significativeWeight - Significative weight

toString

public java.lang.String toString()

Returns a string representation of the neural net

Overrides:

toString in class java.lang.Object

Returns:

String Representation of the neural net

copy

public INeuralNet copy()

Returns a copy of this neural net

Specified by:

copy in interface INeuralNet

Returns:

INeuralNet Copy of this neural net