backpropagationpanelresource_pt_br.java
来自「利用Java实现的神经网络工具箱」· Java 代码 · 共 47 行
JAVA
47 行
/* * Created on 17/02/2005 * * TODO To change the template for this generated file go to * Window - Preferences - Java - Code Style - Code Templates */package neuralnetworktoolkit.gui.options.method.resources;import java.util.ListResourceBundle;/** * @author Rodrigo * * TODO To change the template for this generated type comment go to * Window - Preferences - Java - Code Style - Code Templates */public class BackPropagationPanelResource_pt_BR extends ListResourceBundle { /* * @see java.util.ListResourceBundle#getContents() */ protected Object[][] getContents() { return contents; } //getContents() static final Object[][] contents = { {"batchAdaptiveLearningRate", "<html>Em lotes com fator de momentum e<br>taxa de aprendizagem vari\u00e1vel</html>"}, {"batch", "Em lotes"}, {"batchMomentum", "Em lotes com fator de momentum"}, {"onLineAdaptiveLearningRate", "<html>On-line com fator de momentum e<br>taxa de aprendizagem vari\u00e1vel</html>"}, {"onLine", "On-line"}, {"onLineMomentum", "On-line com fator de momentum"}, {"backPropagationVariation", " Varia\u00e7\u00f5es de retropropaga\u00e7\u00e3o "}, {"maxEpochs", "M\u00e1ximo de \u00e9pocas"}, {"error", "Erro quadr\u00e1tico m\u00e9dio"}, {"stopCondition", " Condi\u00e7\u00e3o de parada "}, {"lrMultiplier", "Multiplicador LR"}, {"learningRate", "Taxa de aprendizagem"}, {"alpha", "Momentum"}, {"backPropagationParameters", " Par\u00e2metros de retropropaga\u00e7\u00e3o "}, {"nntk", "NeuralNetworkToolkit"} };}⌨️ 快捷键说明
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