normalizationpanelresource_en_us.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: NormalizationPanelResource_en_US.java,v $
 * $Revision: 1.2 $
 * $Date: 2005/02/24 21:20:29 $
 *
 * 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.gui.options.normalization.resources;

import java.util.ListResourceBundle;

/**
 * 
 * 
 * @version $Revision: 1.2 $ - $Date: 2005/02/24 21:20:29 $
 * 
 * @author <a href="mailto:[e-mail]">Rodrigo C. M. Coimbra</a>
 * @author <a href="mailto:[e-mail]">Hugo Iver V. Gonçalves</a>
 */
public class NormalizationPanelResource_en_US extends ListResourceBundle {
	
	/* 
	 * @see java.util.ListResourceBundle#getContents()
	 */
	protected Object[][] getContents() {
		return contents;
		
	} //getContents()
	
	static final Object[][] contents = {
			{"euclideanNorm1", "Euclidean norm 1"},
			{"linear", "Into the interval [-1, 1]"},
			{"sum1", "Sum 1"},
			{"zeroMean", "Zero mean"},
			{"zeroMeanAndUnitStandardDeviation", "Zero mean and unit standard deviation"},
			{"noNormalize", "No normalize"},
			{"input", "Normalize input"},
			{"all", "Normalize input and output"},
			{"nntk", "NeuralNetworkToolkit"}
		    
		};

} //NormalizationPanelResource_en_US