mlppanelresource_en_us.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: MLPPanelResource_en_US.java,v $
 * $Revision: 1.2 $
 * $Date: 2005/02/17 21:30:36 $
 *
 * 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.architecture.resources;

import java.util.ListResourceBundle;

/**
 * <code>ArchitectureDialog</code> U.S. english resources class. 
 * 
 * @version $Revision: 1.2 $ - $Date: 2005/02/17 21:30:36 $
 * 
 * @author <a href="mailto:[e-mail]">Rodrigo C. M. Coimbra</a>
 * @author <a href="mailto:[e-mail]">Hugo Iver V. Gonçalves</a>
 */
public class MLPPanelResource_en_US extends ListResourceBundle {

	/* 
	 * @see java.util.ListResourceBundle#getContents()
	 */
	protected Object[][] getContents() {
		return contents;
		
	} //getContents()
	
	static final Object[][] contents = {
			{"ok", "OK"},
			{"cancel", "Cancel"},
			{"default", "Default"},
			{"activationFunction", "Activation function"},
			{"neurons", "Neurons"},
			{"internalLayers", " Internal layers "},
			{"outputLayer", " Output layer "},
			{"addLayerButtonToolTip", "Add layer"},
			{"removeLayerButtonToolTip", "Remove layer"},
			{"exp", "Exponential"},
			{"logistic", "Logistic"},
			{"sin", "Sin"},
			{"step", "Step"},
			{"tanh", "Hyperbolic Tangent"},
			{"x", "Linear"},
			{"xcube", "Cubic"},
			{"xsquare", "Quadratic"},
			{"layer", "Layer"},
			{"nguyen", "Nguyen-Widrow"},
			{"randomic", "Randomic"},
			{"initialization", " Weight initialization "},
			{"inputLayerFunctionError", "Select an activation function!"},
			{"inputLayerNeuronsError", "Neurons number must be equal or greater than 1!"},
			{"layerSelectionError", "Select a layer to remove!"},
			{"outputLayerFunctionError", "Select an activation function to the output layer!"},
			{"outputLayerNeuronsError", "Neurons number on the output layer must be equal or greater than 1!"},
			{"nntk", "NeuralNetworkToolkit"}
		    
		};
	
} //ArchitectureDialogResource