mlppanelresource_pt_br.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: MLPPanelResource_pt_BR.java,v $
 * $Revision: 1.3 $
 * $Date: 2005/04/24 02:13:19 $
 *
 * 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>MLPPanel</code> brazilian portuguese resources class. 
 * 
 * @version $Revision: 1.3 $ - $Date: 2005/04/24 02:13:19 $
 * 
 * @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_pt_BR extends ListResourceBundle {
	
	/* 
	 * @see java.util.ListResourceBundle#getContents()
	 */
	protected Object[][] getContents() {
		return contents;
		
	} //getContents()
	
	static final Object[][] contents = {
			{"ok", "OK"},
			{"cancel", "Cancelar"},
			{"default", "Padr\u00e3o"},
			{"activationFunction", "Fun\u00e7\u00e3o de ativa\u00e7\u00e3o"},
			{"neurons", "Neur\u00f4nios"},
			{"internalLayers", " Camadas internas "},
			{"outputLayer", " Camada de sa\u00edda "},
			{"addLayerButtonToolTip", "Adicionar camada"},
			{"removeLayerButtonToolTip", "Remover camada"},
			{"exp", "Exponencial"},
			{"logistic", "Log\u00edstica"},
			{"sin", "Seno"},
			{"step", "Degrau"},
			{"tanh", "Tangente Hiperb\u00f3lica"},
			{"x", "Linear"},
			{"xcube", "C\u00fabica"},
			{"xsquare", "Quadr\u00e1tica"},
			{"layer", "Camada"},
			{"nguyen", "Nguyen-Widrow"},
			{"randomic", "Rand\u00f4mica"},
			{"initialization", " Inicializa\u00e7\u00e3o dos pesos "},
			{"inputLayerFunctionError", "Selecione uma fun\u00e7\u00e3o de ativa\u00e7\u00e3o!"},
			{"inputLayerNeuronsError", "O n\u00famero de neur\u00f4nios precisa ser maior ou igual a 1!"},
			{"layerSelectionError", "Selecione uma camada para remov\u00ea-la!"},
			{"outputLayerFunctionError", "Selecione uma fun\u00e7\u00e3o de ativa\u00e7\u00e3o para a camada de sa\u00edda!"},
			{"outputLayerNeuronsError", "O n\u00famero de neur\u00f4nios na camada de sa\u00edda precisa ser maior ou igual a 1!"},
			{"nntk", "NeuralNetworkToolkit"}
		    
		};

} //ArchitectureDialogResource_pt