backpropagationpanelresource_en_us.java
来自「利用Java实现的神经网络工具箱」· Java 代码 · 共 67 行
JAVA
67 行
/* * $RCSfile: BackPropagationPanelResource_en_US.java,v $ * $Revision: 1.2 $ * $Date: 2005/05/08 03:10:25 $ * * 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.method.resources;import java.util.ListResourceBundle;/** * * * @version $Revision: 1.2 $ - $Date: 2005/05/08 03:10:25 $ * * @author <a href="mailto:rodbra@pop.com.br">Rodrigo C. M. Coimbra</a> * @author <a href="mailto:hugoiver@yahoo.com.br">Hugo Iver V. Gonçalves</a> */public class BackPropagationPanelResource_en_US extends ListResourceBundle { /* * @see java.util.ListResourceBundle#getContents() */ protected Object[][] getContents() { return contents; } //getContents() static final Object[][] contents = { {"batchAdaptiveLearningRate", "<html>Batch momentum with<br>adaptive learning rate</html>"}, {"batch", "Batch"}, {"batchMomentum", "Batch momentum"}, {"onLineAdaptiveLearningRate", "<html>On-line momentum with<br>adaptive learning rate</html>"}, {"onLine", "On-line"}, {"onLineMomentumBackPropagation", "On-line momentum"}, {"backPropagationVariation", " Back propagation variations "}, {"maxEpochs", "Maximum of epochs"}, {"error", "Quadratic mean error"}, {"stopCondition", " Stop condition "}, {"lrMultiplier", "LR multiplier"}, {"learningRate", "Learning rate"}, {"alpha", "Momentum"}, {"backPropagationParameters", " Back propagation parameters "}, {"nntk", "NeuralNetworkToolkit"} };}⌨️ 快捷键说明
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