Example usage for weka.classifiers.functions MultilayerPerceptron MultilayerPerceptron

Introduction

In this page you can find the example usage for weka.classifiers.functions MultilayerPerceptron MultilayerPerceptron.

Prototype

public MultilayerPerceptron()

Source Link

Document

The constructor.

Usage

From source file:problems.NextReleaseProblem.java

public NextReleaseProblem(String solutionType, DataSet data, Integer numberOfBits) {

    try {/*  ww  w.  j a v a 2  s . co  m*/
        dataset = data;
        model = new MultilayerPerceptron();
        model.buildClassifier(dataset.getInstances());
        reqList = ObjectDAO.getInstance().getAllReq();
        numberOfVariables_ = 1;
        numberOfObjectives_ = 2;
        numberOfConstraints_ = 0;
        problemName_ = "NRP";
        solutionType_ = new BinarySolutionType(this);

        for (int i = 0; i < numberOfBits; i++) {
            budget += reqList.get(i).getCost();
        }
        budget = (budget * 0.4);

        length_ = new int[numberOfVariables_];
        length_[0] = numberOfBits;

        if (solutionType.compareTo("Binary") == 0) {
            solutionType_ = new BinarySolutionType(this);
        } else {
            System.out.println("NRP: solution type " + solutionType + " invalid");
            System.exit(-1);
        }

    } catch (Exception ex) {
        Logger.getLogger(NextReleaseProblem.class.getName()).log(Level.SEVERE, null, ex);
    }

}

From source file:wekimini.learning.NeuralNetModelBuilder.java

public NeuralNetModelBuilder() {
    classifier = new MultilayerPerceptron();
    setHiddenLayers(1, HiddenLayerType.NUM_FEATURES, 0);
    //((MultilayerPerceptron)classifier).setHiddenLayers("i");
}