yawn.nn
Class Layer

java.lang.Object
  yawn.nn.Layer

Direct Known Subclasses:

InputLayer, MLPLayer, PredictionLayer, RecognitionLayer

public class Layer
extends java.lang.Object

A layer of neurons $Id: Layer.java,v 1.8 2005/04/07 17:28:28 supermarti Exp $

Version:

$Revision: 1.8 $

Author:

Luis Martí (luis dot marti at uc3m dot es)

Field Summary

protected boolean	adapting
protected int	inputSize
protected Layer	nextLayer
protected java.util.ArrayList	units

Constructor Summary

protected	Layer()
	Layer(Layer nextLayer, int inputSize)

Method Summary

void	connectWith(Layer next)
protected Pattern	getActivations()
int	getInputSize()
NeuralNode[]	getNodes()
boolean	isAdapting()
Pattern	output()
void	propagateToNextLayer()
void	reset()
void	setAdapting(boolean adapting)
void	setInput(Pattern input)
protected void	setInputSize(int inputSize)
int	size()

Methods inherited from class java.lang.Object

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

Field Detail

adapting

protected boolean adapting

inputSize

protected int inputSize

nextLayer

protected Layer nextLayer

units

protected java.util.ArrayList units

Constructor Detail

Layer

protected Layer()

Layer

public Layer(Layer nextLayer,
             int inputSize)

Method Detail

connectWith

public void connectWith(Layer next)

getActivations

protected Pattern getActivations()

getInputSize

public int getInputSize()

getNodes

public NeuralNode[] getNodes()

isAdapting

public boolean isAdapting()

Returns:

true if adaptation is taking place in the neuron

output

public Pattern output()

propagateToNextLayer

public void propagateToNextLayer()

reset

public void reset()

setAdapting

public void setAdapting(boolean adapting)

Parameters:

adapting -

setInput

public void setInput(Pattern input)

setInputSize

protected void setInputSize(int inputSize)

size

public int size()