/***********************************************************************
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;
import javolution.xml.XmlElement;
import javolution.xml.XmlFormat;
import keel.Algorithms.Neural_Networks.NNEP_Common.data.DoubleTransposedDataSet;
import org.apache.commons.lang.builder.HashCodeBuilder;
/**
* <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 class InputNeuron implements INeuron {
/**
* <p>
* Input Neuron of a neural net
* </p>
*/
/////////////////////////////////////////////////////////////////
// ------------------------------------- Marshal/unmarshal format
/////////////////////////////////////////////////////////////////
/**
* <p>
* Marshal/Unmarshal neuron index
* </p>
*/
protected static final javolution.xml.XmlFormat<InputNeuron> XML =
new XmlFormat<InputNeuron>(InputNeuron.class)
{
public void format(InputNeuron source, XmlElement xml)
{
// Marshal index
xml.setAttribute("index", source.index);
}
public InputNeuron parse(XmlElement xml)
{
// Resulting object
InputNeuron result = (InputNeuron) xml.object();
// Unmarshal index
result.index = xml.getAttribute("index", 1);
// Return result
return result;
}
public String defaultName()
{
return "input-neuron";
}
};
/////////////////////////////////////////////////////////////////
// --------------------------------------- Serialization constant
/////////////////////////////////////////////////////////////////
/** Generated by Eclipse */
private static final long serialVersionUID = -6041931197564234348L;
/////////////////////////////////////////////////////////////////
// --------------------------------------------------- Attributes
/////////////////////////////////////////////////////////////////
/** Index of the neuron */
protected int index;
/////////////////////////////////////////////////////////////////
// -------------------------------------------------- Constructor
/////////////////////////////////////////////////////////////////
/**
* Empty Constructor
*/
public InputNeuron() {
super();
}
/////////////////////////////////////////////////////////////////
// ------------------------------- Getting and setting attributes
/////////////////////////////////////////////////////////////////
/**
* <p>
* Returns the index associated to this neuron
* </p>
* @return int Index of the neuron
*/
public int getIndex() {
return index;
}
/**
* <p>
* Sets the index associated to this neuron
* </p>
* @param index New index of the neuron
*/
public void setIndex(int index) {
this.index = index;
}
/////////////////////////////////////////////////////////////////
// ------------------------------- Implementing INeuron interface
/////////////////////////////////////////////////////////////////
/**
* <p>
* Checks if this link is equal to another
* </p>
* @param other Other link to compare
* @return true if both neurons are equal
*/
public boolean equals(INeuron other){
if(this.hashCode()!=other.hashCode())
return false;
else
return true;
}
/**
* <p>
* Returns an integer number that identifies the neuron
* </p>
* @return int Hashcode
*/
public int hashCode(){
HashCodeBuilder hcb = new HashCodeBuilder(31, 37);
hcb.append(index);
return hcb.toHashCode();
}
/**
* <p>
* Operates this neuron. An input neuron has to do no operation
* </p>
* @param inputs Double array to be used for the inputs observations
* @return double Output of the neuron for the array specified
*/
public double operate(double [] inputs){
return inputs[index];
}
/**
* <p>
* Operates this neuron. An input neuron has to do no operation
* </p>
* @param dataSet DataSet to be used for the inputs observations
* @return double [] Array outputs of the neuron for the dataSet specified
*/
public double [] operate(DoubleTransposedDataSet dataSet){
return dataSet.getObservationsOf(index);
}
/**
* <p>
* Operates this neuron. An input neuron has to do no operation
* </p>
* @param inputs Input matrix to be used to feed the input neurons
* @return double [] Array outputs of the neuron for the matrix specified
*/
public double [] operate(double[][] inputs){
return inputs[index];
}
/////////////////////////////////////////////////////////////////
// ----------------------------------------------- Public methods
/////////////////////////////////////////////////////////////////
/**
* <p>
* Returns a string representation of the InputNeuron
* </p>
* @return String Representation of the InputNeuron
*/
public String toString(){
StringBuffer sb = new StringBuffer();
sb.append("x" + (index+1));
return sb.toString();
}
}