lmamparameters.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: LMAMParameters.java,v $
 * $Revision: 1.3 $
 * $Date: 2005/02/24 21:20:31 $
 *
 * NeuralNetworkToolkit
 * Copyright (C) 2004 Universidade de Brasília
 *
 * This file is part of NeuralNetworkToolkit.
 *
 * NeuralNetworkToolkit 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 2 of the License, or
 * (at your option) any later version.
 *
 * NeuralNetworkToolkit 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 NeuralNetworkToolkit; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA - 02111-1307 - USA.
 */
package neuralnetworktoolkit.methods.gradientbased.quasinewton.lm;

/**
 * 
 * 
 * @author <a href="mailto:[e-mail]">Hugo Iver V. Gonçalves</a>
 * @author <a href="mailto:[e-mail]">Rodrigo C. M. Coimbra</a>
 */
public class LMAMParameters extends LevenbergMarquardtParameters {

	private double deltaP;
	private double epsilon;
	
	/**
	 * 
	 */
	public void configureDefault() {
		super.configureDefault();
		deltaP = 0.5;
		epsilon = 0.03;
		
	} //configureDefault()

	/**
	 * @return Returns the deltaP.
	 */
	public double getDeltaP() {
		return deltaP;
		
	} //getDeltaP()
	
	/**
	 * @param deltaP The deltaP to set.
	 */
	public void setDeltaP(double deltaP) {
		this.deltaP = deltaP;
		
	} //setDeltaP()
	
	/**
	 * @return Returns the epsilon.
	 */
	public double getEpsilon() {
		return epsilon;
		
	} //getEpsilon()
	
	/**
	 * @param epsilon The epsilon to set.
	 */
	public void setEpsilon(double epsilon) {
		this.epsilon = epsilon;
		
	} //setEpsilon()
	
} //LMAMParameters