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📄 backpropagationpanelresource_pt_br.java

📁 利用Java实现的神经网络工具箱
💻 JAVA
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/* * 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"}		    		};}

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