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// Copyright (c) 2012, Instituto de Microelectronica de Sevilla (IMSE-CNM) //
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//++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
// CLASE QUE SELECCIONA LA FORMA DE CALCULO DE LA DERIVADA //
//++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
package xfuzzy.xfsl.algorithm;
import xfuzzy.lang.*;
import xfuzzy.xfsl.*;
import xfuzzy.util.*;
public class DerivativeOption implements XfslAlgorithmOption {
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
// CONSTANTES PRIVADAS //
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
private static final int COMPUTE = 0;
private static final int ESTIMATE = 1;
private static final int STOCHASTIC = 2;
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
// MIEMBROS PRIVADOS //
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
private int derivative;
private double perturbation;
private XTextForm text;
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
// CONSTRUCTOR //
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
public DerivativeOption() {
this.derivative = COMPUTE;
this.perturbation = -1;
}
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
// METODOS PUBLICOS //
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
//-------------------------------------------------------------//
// Selecciona la opcion desde el fichero de configuracion //
//-------------------------------------------------------------//
public boolean setOption(String name,double[] param) throws XflException {
if(name.equals("weight_perturbation")) {
derivative = ESTIMATE;
perturbation = XfslAlgorithm.test(param[0], XfslAlgorithm.POSITIVE);
return true;
}
else if(name.equals("stochastic_perturbation")) {
derivative = STOCHASTIC;
perturbation = XfslAlgorithm.test(param[0], XfslAlgorithm.POSITIVE);
return true;
}
else return false;
}
//-------------------------------------------------------------//
// Descripcion de la opcion en el fichero de configuracion //
//-------------------------------------------------------------//
public String toCode() {
if(derivative == ESTIMATE)
return "xfsl_option(weight_perturbation,"+perturbation+")";
if(derivative == STOCHASTIC)
return "xfsl_option(stochastic_perturbation,"+perturbation+")";
return "";
}
//-------------------------------------------------------------//
// Muestra un campo de seleccion grafica de la opcion //
//-------------------------------------------------------------//
public XTextForm show() {
String name[] = { "Compute","Estimate","Roughly estimate"};
String param[] = { "", "Perturbation", "Perturbation" };
this.text = new XTextForm("Derivatives", name, param);
this.text.setSelection(derivative);
if(derivative != COMPUTE && perturbation > 0)
this.text.setParameter(""+perturbation);
else this.text.setParameter("");
return this.text;
}
//-------------------------------------------------------------//
// Lee y verifica los valores introducidos en el campo //
//-------------------------------------------------------------//
public boolean get() {
boolean good = true;
derivative = text.getSelection();
if(derivative != COMPUTE) {
try {
double pp = Double.parseDouble(text.getParameter());
perturbation = XfslAlgorithm.test(pp, XfslAlgorithm.POSITIVE);
} catch(Exception ex) { good = false; text.setParameter(""); }
}
return good;
}
//-------------------------------------------------------------//
// Calcula la derivada de la forma seleccionada //
//-------------------------------------------------------------//
public XfslEvaluation compute(Specification spec, XfslPattern pt,
XfslErrorFunction ef) throws XflException {
switch(derivative) {
case COMPUTE: return ef.compute_derivatives(spec,pt);
case ESTIMATE: return ef.estimate_derivatives(spec,pt,perturbation);
case STOCHASTIC: return ef.stochastic_derivatives(spec,pt,perturbation);
default: return null;
}
}
//-------------------------------------------------------------//
// Calcula la derivada de las salidas (no del error) //
//-------------------------------------------------------------//
public double[] compute2(Specification spec,double[] input) throws XflException {
switch(derivative) {
case COMPUTE: return spec.compute_derivatives(input);
case ESTIMATE: return spec.estimate_derivatives(input,perturbation);
case STOCHASTIC: return spec.stochastic_derivatives(input,perturbation);
default: return null;
}
}
}