modifiedbackpropagation.java

利用Java实现的神经网络工具箱

/*
 * NetworkController.java	1.0  27/10/2004
 *
 * 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;


/**
 * @author iver
 *
 * TODO To change the template for this generated type comment go to
 * Window - Preferences - Java - Code Generation - Code and Comments
 */
public abstract class ModifiedBackPropagation extends BackPropagationModel {
	
	protected double[][] previousDeltaW;
	protected double alpha;
	protected boolean firstIteration = true;
	protected boolean successfullIteration = false;
		
	/** The learning rate multiplier for adaptive learning rate
	 * backpropagation methods.
	 */
	public static final int STD_LR_MULTIPLIER = 10;
	
	protected double lrMultiplier = STD_LR_MULTIPLIER;
				
}