Package org.encog.mathutil.rbf

Examples of org.encog.mathutil.rbf.RBFEnum

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        layers.get(2), output);

    final int inputCount = inputLayer.getCount();
    final int outputCount = outputLayer.getCount();

    RBFEnum t;

    if (rbfLayer.getName().equalsIgnoreCase("Gaussian")) {
      t = RBFEnum.Gaussian;
    } else if (rbfLayer.getName().equalsIgnoreCase("Multiquadric")) {
      t = RBFEnum.Multiquadric;
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        layers.get(2), output);

    final int inputCount = inputLayer.getCount();
    final int outputCount = outputLayer.getCount();

    RBFEnum t;

    if (rbfLayer.getName().equalsIgnoreCase("Gaussian")) {
      t = RBFEnum.Gaussian;
    } else if (rbfLayer.getName().equalsIgnoreCase("Multiquadric")) {
      t = RBFEnum.Multiquadric;
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    final String neighborhoodStr = holder.getString(
        MLTrainFactory.PROPERTY_NEIGHBORHOOD, false, "rbf");
    final String rbfTypeStr = holder.getString(
        MLTrainFactory.PROPERTY_RBF_TYPE, false, "gaussian");

    RBFEnum t;

    if (rbfTypeStr.equalsIgnoreCase("Gaussian")) {
      t = RBFEnum.Gaussian;
    } else if (rbfTypeStr.equalsIgnoreCase("Multiquadric")) {
      t = RBFEnum.Multiquadric;
View Full Code Here
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  private static MLMethod createRBF() {
    CreateRBFDialog dialog = new CreateRBFDialog(EncogWorkBench
        .getInstance().getMainWindow());
    if (dialog.process()) {
      RBFEnum type = dialog.getRBFType();
      RadialBasisPattern rbf = new RadialBasisPattern();
      rbf.setInputNeurons(dialog.getInputCount().getValue());
      rbf.addHiddenLayer(dialog.getHiddenCount().getValue());
      rbf.setOutputNeurons(dialog.getOutputCount().getValue());
      rbf.setRBF(type);
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        layers.get(2), output);

    final int inputCount = inputLayer.getCount();
    final int outputCount = outputLayer.getCount();

    RBFEnum t;

    if (rbfLayer.getName().equalsIgnoreCase("Gaussian")) {
      t = RBFEnum.Gaussian;
    } else if (rbfLayer.getName().equalsIgnoreCase("Multiquadric")) {
      t = RBFEnum.Multiquadric;
View Full Code Here
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    final String neighborhoodStr = holder.getString(
        MLTrainFactory.PROPERTY_NEIGHBORHOOD, false, "rbf");
    final String rbfTypeStr = holder.getString(
        MLTrainFactory.PROPERTY_RBF_TYPE, false, "gaussian");

    RBFEnum t;

    if (rbfTypeStr.equalsIgnoreCase("Gaussian")) {
      t = RBFEnum.Gaussian;
    } else if (rbfTypeStr.equalsIgnoreCase("Multiquadric")) {
      t = RBFEnum.Multiquadric;
View Full Code Here
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        layers.get(2), output);

    final int inputCount = inputLayer.getCount();
    final int outputCount = outputLayer.getCount();

    RBFEnum t;

    if (rbfLayer.getName().equalsIgnoreCase("Gaussian")) {
      t = RBFEnum.Gaussian;
    } else if (rbfLayer.getName().equalsIgnoreCase("Multiquadric")) {
      t = RBFEnum.Multiquadric;
View Full Code Here
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Related Classes of org.encog.mathutil.rbf.RBFEnum

  • org.encog.ml.factory.method.RBFNetworkFactory
  • org.encog.ml.factory.method.SRNFactory
  • org.encog.ml.factory.train.NeighborhoodSOMFactory
  • org.encog.workbench.process.CreateNeuralNetwork
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