Java tutorial
/* * Encog(tm) Workbench v2.5 * http://www.heatonresearch.com/encog/ * http://code.google.com/p/encog-java/ * Copyright 2008-2010 Heaton Research, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.workbench.tabs.weights; import java.awt.BorderLayout; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.util.ArrayList; import java.util.List; import javax.swing.JButton; import javax.swing.JPanel; import javax.swing.JTabbedPane; import org.encog.neural.networks.BasicNetwork; import org.encog.neural.networks.layers.Layer; import org.encog.neural.networks.structure.AnalyzeNetwork; import org.encog.neural.networks.structure.NetworkCODEC; import org.encog.persist.EncogPersistedObject; import org.encog.workbench.tabs.EncogCommonTab; import org.jfree.chart.ChartFactory; import org.jfree.chart.ChartPanel; import org.jfree.chart.JFreeChart; import org.jfree.chart.plot.PlotOrientation; import org.jfree.data.statistics.HistogramDataset; import org.jfree.data.xy.IntervalXYDataset; public class AnalyzeWeightsTab extends EncogCommonTab implements ActionListener { /** * */ private static final long serialVersionUID = 4472644832610364833L; private JButton buttonClose; private JTabbedPane tabs; private WeightInfo weightInfo; private AnalyzeNetwork analyze; private BasicNetwork network; private HistogramDataset dataAll; private HistogramDataset dataWeights; private HistogramDataset dataThresholds; public AnalyzeWeightsTab(EncogPersistedObject encogObject) { super(encogObject); this.network = (BasicNetwork) encogObject; this.analyze = new AnalyzeNetwork(this.network); this.setLayout(new BorderLayout()); JPanel buttonPanel = new JPanel(); add(buttonPanel, BorderLayout.SOUTH); this.buttonClose = new JButton("Close"); buttonPanel.add(this.buttonClose); this.buttonClose.addActionListener(this); this.weightInfo = new WeightInfo(this); this.add(this.weightInfo, BorderLayout.NORTH); // createAllDataset(); ChartPanel allChart = new ChartPanel(createChart(this.dataAll)); ChartPanel weightChart = new ChartPanel(createChart(this.dataWeights)); ChartPanel thresholdChart = new ChartPanel(createChart(this.dataThresholds)); this.tabs = new JTabbedPane(); this.add(tabs, BorderLayout.CENTER); this.tabs.addTab("Weights & Thresholds", allChart); this.tabs.addTab("Thresholds", weightChart); this.tabs.addTab("Weights", thresholdChart); } private void createAllDataset() { // all values this.dataAll = new HistogramDataset(); double[] values = this.analyze.getAllValues(); this.dataAll.addSeries("Weights & Thresholds", values, 50); // weight values this.dataThresholds = new HistogramDataset(); double[] values2 = this.analyze.getWeightValues(); this.dataThresholds.addSeries("Weights", values2, 50); // threshold values this.dataWeights = new HistogramDataset(); double[] values3 = this.analyze.getBiasValues(); this.dataWeights.addSeries("Thresholds", values3, 50); } /** * Creates a chart. * * @param dataset a dataset. * * @return The chart. */ private JFreeChart createChart(IntervalXYDataset dataset) { JFreeChart chart = ChartFactory.createHistogram(null, null, null, dataset, PlotOrientation.VERTICAL, true, false, false); chart.getXYPlot().setForegroundAlpha(0.75f); return chart; } public AnalyzeNetwork getAnalyze() { return this.analyze; } public void actionPerformed(ActionEvent e) { if (e.getSource() == this.buttonClose) { this.dispose(); } } }