lmampanel.java

利用Java实现的神经网络工具箱

/*
 * $RCSfile: LMAMPanel.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.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.lm.LMAMParameters;

/**
 * 
 * 
 * @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 LMAMPanel extends LevenbergMarquardtPanel {
	
	private JLabel deltaPLabel;
	private JLabel epsilonLabel;
	private JSpinner deltaPSpinner;
	private JSpinner epsilonSpinner;
	private SpinnerNumberModel deltaPSpinnerModel;
	private SpinnerNumberModel epsilonSpinnerModel;
	private JPanel deltaPPanel;
	private JPanel epsilonPanel;
	private JPanel specialLMAMParametersPanel;
	
	private ResourceBundle resource;
	
	/**
	 * 
	 *
	 */
	public LMAMPanel() {
		super();

		resource = ResourceBundle
				.getBundle("neuralnetworktoolkit.gui.options.method.resources.LMAMPanelResource");

		deltaPLabel = new JLabel(resource.getString("deltaP"));
		deltaPSpinnerModel = new SpinnerNumberModel(0.5, 0.001, 1, 0.001);
		deltaPSpinner = new JSpinner(deltaPSpinnerModel);
		deltaPPanel = new JPanel();
		deltaPPanel.setLayout(new BorderLayout());
		deltaPPanel.add(deltaPLabel, BorderLayout.NORTH);
		deltaPPanel.add(deltaPSpinner, BorderLayout.CENTER);

		epsilonLabel = new JLabel(resource.getString("epsilon"));
		epsilonSpinnerModel = new SpinnerNumberModel(0.03, 0.001, 1, 0.001);
		epsilonSpinner = new JSpinner(epsilonSpinnerModel);
		epsilonPanel = new JPanel();
		epsilonPanel.setLayout(new BorderLayout());
		epsilonPanel.add(epsilonLabel, BorderLayout.NORTH);
		epsilonPanel.add(epsilonSpinner, BorderLayout.CENTER);

		specialLMAMParametersPanel = new JPanel();
		specialLMAMParametersPanel.setLayout(new GridBagLayout());
		specialLMAMParametersPanel.add(deltaPPanel, new GridBagConstraints(0, 0,
				1, 1, 1.0, 1.0, GridBagConstraints.CENTER,
				GridBagConstraints.VERTICAL, borderInsets, 67, 0));
		specialLMAMParametersPanel.add(epsilonPanel, new GridBagConstraints(0, 1, 1, 1,
				1.0, 1.0, GridBagConstraints.CENTER,
				GridBagConstraints.VERTICAL, borderInsets, 67, 0));
		specialLMAMParametersPanel.setBorder(new TitledBorder(resource
				.getString("specialLMAMParameters")));

		this.add(specialLMAMParametersPanel, new GridBagConstraints(0, 2, 1, 1, 1.0,
				1.0, GridBagConstraints.CENTER, GridBagConstraints.HORIZONTAL,
				borderInsets, 67, 0));

	} //LMAMPanel()
	
	/* 
	 * @see neuralnetworktoolkit.gui.options.method.TrainingMethodPanel#initializeComponents(boolean)
	 */
	public void initializeComponents(boolean verify) {
		LMAMParameters lmamParameters;
		
		super.initializeComponents(verify);
		if(verify) {
			lmamParameters = (LMAMParameters) parameters;
			
			deltaPSpinner.setValue(new Double(lmamParameters.getDeltaP()));
			epsilonSpinner.setValue(new Double(lmamParameters.getEpsilon()));
			
		}
		
	} //initializeComponents()
	
	/**
	 * @return Returns the parameters.
	 */
	public TrainingParameters getParameters() {
		LMAMParameters lmamParameters;
		
		lmamParameters = (LMAMParameters) super.getParameters();
		
		lmamParameters.setDeltaP(((Double)deltaPSpinner.getValue()).doubleValue());
		lmamParameters.setEpsilon(((Double)epsilonSpinner.getValue()).doubleValue());
		
		return lmamParameters;
		
	} //getParameters()

} //LMAMPanel