gaussnewtonpanel.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: GaussNewtonPanel.java,v $
 * $Revision: 1.3 $
 * $Date: 2005/02/24 21:20:29 $
 *
 * 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;

import java.awt.BorderLayout;
import java.awt.GridBagConstraints;
import java.awt.GridBagLayout;
import java.awt.Insets;
import java.util.ResourceBundle;

import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JSpinner;
import javax.swing.SpinnerNumberModel;
import javax.swing.border.TitledBorder;

import neuralnetworktoolkit.methods.TrainingParameters;
import neuralnetworktoolkit.methods.gradientbased.quasinewton.QuasiNewton;
import neuralnetworktoolkit.methods.gradientbased.quasinewton.gaussnewton.GaussNewtonParameters;

/**
 * 
 * 
 * @version $Revision: 1.3 $ - $Date: 2005/02/24 21:20:29 $
 * 
 * @author <a href="mailto:[e-mail]">Rodrigo C. M. Coimbra</a>
 * @author <a href="mailto:[e-mail]">Hugo Iver V. Gonçalves</a>
 */
public class GaussNewtonPanel extends TrainingMethodPanel {
	
	private JLabel maxIterationsLabel;
	private JLabel errorLabel;
	private JSpinner maxIterationsSpinner;
	private JSpinner errorSpinner;
	private SpinnerNumberModel maxIterationsSpinnerModel;
	private SpinnerNumberModel errorSpinnerModel;
	private JPanel maxIterationsPanel;
	private JPanel errorPanel;
	private JPanel stopConditionPanel;
	
	protected Insets borderInsets;
	
	private ResourceBundle resource;
	
	/**
	 * 
	 *
	 */
	public GaussNewtonPanel() {
		resource = ResourceBundle
				.getBundle("neuralnetworktoolkit.gui.options.method.resources.GaussNewtonPanelResource");
		
		borderInsets = new Insets(5, 5, 5, 5);
		
		maxIterationsLabel = new JLabel(resource.getString("maxIterations"));
		maxIterationsSpinnerModel = new SpinnerNumberModel(400, 1, QuasiNewton.MAX_ITERATIONS, 1);
		maxIterationsSpinner = new JSpinner(maxIterationsSpinnerModel);
		maxIterationsPanel = new JPanel();
		maxIterationsPanel.setLayout(new BorderLayout());
		maxIterationsPanel.add(maxIterationsLabel, BorderLayout.NORTH);
		maxIterationsPanel.add(maxIterationsSpinner, BorderLayout.CENTER);
		
		errorLabel = new JLabel(resource.getString("error"));
		errorSpinnerModel = new SpinnerNumberModel(0.001, 0, 1, 0.001);
		errorSpinner = new JSpinner(errorSpinnerModel);
		errorPanel = new JPanel();
		errorPanel.setLayout(new BorderLayout());
		errorPanel.add(errorLabel, BorderLayout.NORTH);
		errorPanel.add(errorSpinner, BorderLayout.CENTER);
		
		stopConditionPanel = new JPanel();
		stopConditionPanel.setLayout(new GridBagLayout());
		stopConditionPanel.add(maxIterationsPanel,
				new GridBagConstraints(0, 0, 1, 1, 1.0, 1.0,
						GridBagConstraints.CENTER,
						GridBagConstraints.VERTICAL, borderInsets,
						67, 0));
		stopConditionPanel.add(errorPanel,
				new GridBagConstraints(0, 1, 1, 1, 1.0, 1.0,
						GridBagConstraints.CENTER,
						GridBagConstraints.VERTICAL, borderInsets,
						67, 0));
		stopConditionPanel.setBorder(new TitledBorder(resource.getString("stopCondition")));
		
		this.setLayout(new GridBagLayout());
		this.add(stopConditionPanel,
				new GridBagConstraints(0, 0, 1, 1, 1.0, 1.0,
						GridBagConstraints.CENTER,
						GridBagConstraints.HORIZONTAL, borderInsets,
						67, 0));
		
	} //GaussNewtonPanel()

	/* 
	 * @see neuralnetworktoolkit.gui.options.method.TrainingMethodPanel#initializeComponents(boolean)
	 */
	public void initializeComponents(boolean verify) {
		GaussNewtonParameters gnParameters;
		
		if(verify) {
			gnParameters = (GaussNewtonParameters) parameters;
			
			errorSpinner.setValue(new Double(gnParameters.getError()));
			maxIterationsSpinner.setValue(new Integer(gnParameters.getMaxIterations()));
			
		}
		
	} //initializeComponents()
	
	/**
	 * @return Returns the parameters.
	 */
	public TrainingParameters getParameters() {
		GaussNewtonParameters gnParameters;
		
		gnParameters = (GaussNewtonParameters) parameters;
		
		gnParameters.setError(((Double)errorSpinner.getValue()).doubleValue());
		gnParameters.setMaxIterations(((Integer)maxIterationsSpinner.getValue()).intValue());
		
		return gnParameters;
		
	} //getParameters()

} //GaussNewtonPanel