generaloptionspanelresource_en_us.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: GeneralOptionsPanelResource_en_US.java,v $
 * $Revision: 1.3 $
 * $Date: 2005/02/24 21:20:30 $
 *
 * 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.newnetwork.resources;

import java.util.ListResourceBundle;

/**
 * 
 */
public class GeneralOptionsPanelResource_en_US extends ListResourceBundle {

	/* 
	 * @see java.util.ListResourceBundle#getContents()
	 */
	protected Object[][] getContents() {
		return contents;
		
	} //getContents()
	
	static final Object[][] contents = {
			{"mlp", "Multilayer Perceptron"},
			{"backPropagation", "Back propagation"},
			{"gaussNewton", "Gauss-Newton"},
			{"levenbergMarquardt", "Levenberg-Marquardt"},
			{"LMAM", "LMAM"},
			{"OLMAM", "OLMAM"},
			{"networkName", "Network name:"},
			{"defaultName", "New Network"},
			{"architecture", "Architecture:"},
			{"method", "Training method:"},
			{"regression", "Regression"},
			{"classification", "Classification"},
			{"use", "Network use:"},
			{"nntk", "NeuralNetworkToolkit"}
		    
		};
	
} //GeneralOptionsPanelResource_en_US