cyber009.main.MainSyntacticData.java Source code

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Here is the source code for cyber009.main.MainSyntacticData.java

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/*
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package cyber009.main;

import cyber009.ann.ANN;
import cyber009.lib.Variable;
import java.awt.BorderLayout;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import java.util.logging.Level;
import java.util.logging.Logger;
import javax.swing.JFrame;
import weka.core.Attribute;
import weka.core.DenseInstance;
import weka.core.Instance;
import weka.core.Instances;
import weka.gui.visualize.PlotData2D;
import weka.gui.visualize.VisualizePanel;

/**
 *
 * @author pavel
 */
public class MainSyntacticData {

    public static void main(String[] args) {
        Random r = new Random(System.currentTimeMillis());
        Variable v = new Variable();
        long timeStart = 0, timeEnd = 0;
        ANN ann = new ANN(v, 0.014013);
        for (int f = 2; f <= 2; f++) {
            v.N = f;
            v.D = 4000;
            v.threshold = 0.0;
            cyber009.function.LinearFunction func = new cyber009.function.LinearFunction(v.N);
            v.X = new double[v.D][];
            v.TARGET = new double[v.D];
            v.WEIGHT = new double[v.N + 1];
            for (int d = 0; d < v.D; d++) {
                v.X[d] = new double[v.N + 1];
                v.X[d][0] = 1.0;
                for (int n = 1; n <= v.N; n++) {
                    v.X[d][n] = r.nextGaussian();
                }
                v.TARGET[d] = func.syntacticFunction(v.X[d], v.threshold);
            }

            //v.showAll();
            //Lib.Utility.writeCSVDataSet("data/syn_data_x_"+v.N+"_d_"+v.D+".csv", v);

            List<Attribute> atts = new ArrayList<>();
            Attribute[] att = new Attribute[v.N + 2];
            for (int i = 0; i <= v.N; i++) {
                att[i] = new Attribute("X" + i);
                atts.add(att[i]);
            }
            List<String> classValus = new ArrayList<>();
            classValus.add("1.0");
            classValus.add("0.0");
            att[v.N + 1] = new Attribute("class", classValus);
            atts.add(att[v.N + 1]);
            Instances dataSet = new Instances("Syn Data", (ArrayList<Attribute>) atts, v.D);

            for (int d = 0; d < v.D; d++) {
                Instance ins = new DenseInstance(v.N + 2);
                for (int i = 0; i <= v.N; i++) {
                    ins.setValue(atts.get(i), v.X[d][i]);
                }
                ins.setValue(atts.get(v.N + 1), v.TARGET[d]);
                dataSet.add(ins);
            }
            //System.out.println(dataSet);
            PlotData2D p2D = new PlotData2D(dataSet);
            p2D.setPlotName("Syn data");
            VisualizePanel vp = new VisualizePanel();
            vp.setName("Show Data");
            try {
                vp.addPlot(p2D);

                JFrame frame = new JFrame("Show Data");
                frame.setSize(600, 600);
                frame.setVisible(true);
                frame.getContentPane().setLayout(new BorderLayout());
                frame.getContentPane().add(vp, BorderLayout.CENTER);
                frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
                frame.setVisible(true);
                func.showCoefficients();
            } catch (Exception ex) {
                Logger.getLogger(MainSyntacticData.class.getName()).log(Level.SEVERE, null, ex);
            }

            ann.weightReset();
            timeStart = System.currentTimeMillis();
            ann.gradientDescent(10000L, 2, v.D);
            timeEnd = System.currentTimeMillis();
            //v.showTable();
            //v.showWEIGHT();
            System.out.println("feature #:" + v.N + " time:(" + (timeEnd - timeStart) + ")");
            v.showResult();
            //func.showCoefficients();
        }
    }

}