.#backpropagationparameters.java.1.3

利用Java实现的神经网络工具箱

/*
 * $RCSfile: BackPropagationParameters.java,v $
 * $Revision: 1.3 $
 * $Date: 2005/02/17 21:30:37 $
 *
 * 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.backpropagation;

import neuralnetworktoolkit.methods.TrainingParameters;

/**
 * 
 * 
 * @version $Revision: 1.3 $ - $Date: 2005/02/17 21:30:37 $
 * 
 * @author <a href="mailto:[e-mail]">Hugo Iver V. Gonçalves</a>
 * @author <a href="mailto:[e-mail]">Rodrigo C. M. Coimbra</a>
 */
public class BackPropagationParameters extends TrainingParameters {

	private int maxEpochs;
	private double learningRate;
	private double alpha;
	private String method;
	
	/**
	 * 
	 */
	public void configureDefault() {
		super.configureDefault();
		maxEpochs = 400;
		learningRate = 0.3;
		alpha = 0.2;
		method = "gradientbased.backpropagation.OnLineAdaptiveLearningRateBackPropagation";
		
	} //configureDefault()

	/**
	 * @return Returns the learningRate.
	 */
	public double getLearningRate() {
		return learningRate;
		
	} //getLearningRate()
	
	/**
	 * @param learningRate The learningRate to set.
	 */
	public void setLearningRate(double learningRate) {
		this.learningRate = learningRate;
		
	} //setLearningRate()
	
	/**
	 * @return Returns the maxEpochs.
	 */
	public int getMaxEpochs() {
		return maxEpochs;
		
	} //getMaxEpochs()
	
	/**
	 * @param maxEpochs The maxEpochs to set.
	 */
	public void setMaxEpochs(int maxEpochs) {
		this.maxEpochs = maxEpochs;
		
	} //setMaxEpochs()
	
	/**
	 * @return Returns the alpha.
	 */
	public double getAlpha() {
		return alpha;
		
	} //getAlpha()
	
	/**
	 * @param alpha The alpha to set.
	 */
	public void setAlpha(double alpha) {
		this.alpha = alpha;
		
	} //setAlpha()
	
	/**
	 * @return Returns the method.
	 */
	public String getMethod() {
		return method;
		
	} //getMethod()
	
	/**
	 * @param method The method to set.
	 */
	public void setMethod(String method) {
		this.method = method;
		
	} //setMethod()
	
} //BackPropagationParameters