/***********************************************************************
This file is part of KEEL-software, the Data Mining tool for regression,
classification, clustering, pattern mining and so on.
Copyright (C) 2004-2010
F. Herrera (herrera@decsai.ugr.es)
L. S�nchez (luciano@uniovi.es)
J. Alcal�-Fdez (jalcala@decsai.ugr.es)
S. Garc�a (sglopez@ujaen.es)
A. Fern�ndez (alberto.fernandez@ujaen.es)
J. Luengo (julianlm@decsai.ugr.es)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see http://www.gnu.org/licenses/
**********************************************************************/
package keel.Algorithms.Neural_Networks.NNEP_Common.neuralnet;
/**
* <p>
* @author Written by Pedro Antonio Gutierrez Penya, Aaron Ruiz Mora (University of Cordoba) 17/07/2007
* @version 0.1
* @since JDK1.5
* </p>
*/
public interface ILayer<N extends INeuron> {
/**
* <p>
* Represents a layer in the neural net
* </p>
*/
/////////////////////////////////////////////////////////////////
// --------------------------------------------- Layer Attributes
/////////////////////////////////////////////////////////////////
/**
* <p>
* Add a neuron to the layer
* </p>
* @param neuron New neuron to add to the layer
*/
public void addNeuron(N neuron);
/**
* <p>
* Returns the maximum number of neurons of this layer
* </p>
* @return int Maximum number of neurons
*/
public int getMaxnofneurons();
/**
* <p>
* Returns a neuron of the layer, using its index
* </p>
* @param index Index of the neuron to return
* @return INeuron Neuron in the layer
*/
public N getNeuron(int index);
/**
* <p>
* Returns the number of neurons of this layer
* </p>
* @return int Number of neurons
*/
public int getNofneurons();
/////////////////////////////////////////////////////////////////
// ----------------------------------------------- Public methods
/////////////////////////////////////////////////////////////////
/**
* <p>
* Checks if this layer is equal to another
* </p>
* @param other Other layer to compare
* @return true if both layers are equal
*/
public boolean equals(ILayer<N> other);
/**
* </p>
* Returns an integer number that identifies the layer
* <p>
* @return int Hashcode
*/
public int hashCode();
}