datatester.java

利用Java实现的神经网络工具箱

package neuralnetworktoolkit.tests;

import javax.swing.*;

import neuralnetworktoolkit.datamanager.textfilemanager.LoadFromFile;
import neuralnetworktoolkit.math.NeuralMath;
import neuralnetworktoolkit.methods.gradientbased.quasinewton.lm.LevenbergMarquardt;
import neuralnetworktoolkit.modelstorage.ModelSerializer;
import neuralnetworktoolkit.neuralnetwork.NeuralNetwork;

public class DataTester {
	
	public static void main(String[] args) {
		JTextArea textArea;
		JFrame frame = new JFrame();

		double inicio =0 , fim = 0;
		NeuralNetwork nn;
		LevenbergMarquardt lm = new LevenbergMarquardt();
		LoadFromFile inputData;
		
		textArea = new JTextArea(500, 500);
				textArea.setEditable(false);
				JScrollPane scrollPane = new JScrollPane(textArea,
											   JScrollPane.VERTICAL_SCROLLBAR_ALWAYS,
											   JScrollPane.HORIZONTAL_SCROLLBAR_ALWAYS);
	frame.setContentPane(scrollPane);
	frame.setSize(500,500);
	frame.show();
				
	textArea.append("Gera��o de rede neural para Theta R inicializada!!!\n");

	/*	try {
			String fileName = "teste.txt";
			
			inputData = new LoadFromFile(fileName,",");
			
			String[] funcoes =	{"Tanh","Sigmoid","Xcube" };
			nn = new NeuralNetwork(2, 1, 1, 1, NeuralNetwork.NEURON_NORMALIZER, funcoes);
			textArea.append("Rede Criada!!!\n");
			int[] parameters = { 1, 1000 };
			
			inicio = System.currentTimeMillis();
			textArea.append("Treinando  a rede! Aguarde...\n");
			lm.train(nn, .00007,inputData.getInputData(), inputData.getExpectedOutput(), parameters);
			fim = System.currentTimeMillis();
			textArea.append("Rede Treinada!!!\n");
			
			TestModel test = new TestModel();
			test.testModel(nn, "Atributos&ThetaRTS.txt", 0, 0.03);
			
			//ModelSerializer.serializeModelToFile(nn, "DemoEmbrapaAtributos&ThetaRTR");
			
			
		} catch(Exception e) {
			e.printStackTrace();
			textArea.append(e.getMessage()+"\n");
					
		}*/
	
		textArea.append("Tempo de treinamento: " + ((fim - inicio) / 1000) + "\n");
		System.out.println();
		textArea.append("Final da demonstra��o!\n");

	}
	
	
}