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//--------------------------------------------------------------------------------//
//++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
// ALGORITMO DE FACTOR DE APRENDIZAJE ADAPTATIVO //
//++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
package xfuzzy.xfsl.algorithm;
import xfuzzy.xfsl.*;
import xfuzzy.lang.*;
public class AdaptLearnRate extends XfslAlgorithm {
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
// MIEMBROS PRIVADOS //
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
private double initrate;
private double rate;
private double increase;
private double decrease;
private DerivativeOption derivative;
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
// CONSTRUCTOR //
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
public AdaptLearnRate() {
this.rate = -1;
this.initrate = -1;
this.increase = -1;
this.decrease = -1;
this.derivative = new DerivativeOption();
}
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
// METODOS PUBLICOS //
//+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++//
//-------------------------------------------------------------//
// Devuelve el codigo de identificacion del algoritmo //
//-------------------------------------------------------------//
public int getCode() {
return ADAPTLEARNRATE;
}
//-------------------------------------------------------------//
// Actualiza los parametros de configuracion del algoritmo //
//-------------------------------------------------------------//
public void setParameters(double[] param) throws XflException {
if(param.length != 3) throw new XflException(26);
initrate = test(param[0], POSITIVE);
increase = test(param[1], INCREASE);
decrease = test(param[2], DECREASE);
}
//-------------------------------------------------------------//
// Obtiene los parametros de configuracion del algoritmo //
//-------------------------------------------------------------//
public XfslAlgorithmParam[] getParams() {
XfslAlgorithmParam[] pp = new XfslAlgorithmParam[3];
pp[0] = new XfslAlgorithmParam(initrate, POSITIVE, "Initial Learning Rate");
pp[1] = new XfslAlgorithmParam(increase, INCREASE, "Increase Factor");
pp[2] = new XfslAlgorithmParam(decrease, DECREASE, "Decrease Factor");
return pp;
}
//-------------------------------------------------------------//
// Obtiene las opciones de configuracion del algoritmo //
//-------------------------------------------------------------//
public XfslAlgorithmOption[] getOptions() {
XfslAlgorithmOption[] opt = new XfslAlgorithmOption[1];
opt[0] = derivative;
return opt;
}
//-------------------------------------------------------------//
// Ejecuta una iteracion del algoritmo //
//-------------------------------------------------------------//
public XfslEvaluation iteration(Specification spec, XfslPattern pattern,
XfslErrorFunction ef) throws XflException {
XfslEvaluation eval = null;
Parameter[] param = spec.getAdjustable();
if(init) { rate = initrate; init = false; } else rate *= increase;
XfslEvaluation prev = derivative.compute(spec,pattern,ef);
boolean backtracking = true;
while(backtracking) {
for(int i=0; i<param.length; i++)
param[i].setDesp(-rate*param[i].getDeriv());
spec.update();
eval = ef.evaluate(spec,pattern,prev.error);
if(eval.error > prev.error) {
rate *= decrease/increase;
for(int i=0; i<param.length; i++) param[i].value-=param[i].getPrevDesp();
}
else backtracking = false;
}
for(int i=0; i<param.length; i++) param[i].forward();
return eval;
}
}