Package org.encog.neural.pattern

Examples of org.encog.neural.pattern.ADALINEPattern.generate()

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    int outputNeurons = DIGITS.length;
   
    ADALINEPattern pattern = new ADALINEPattern();
    pattern.setInputNeurons(inputNeurons);
    pattern.setOutputNeurons(outputNeurons);
    BasicNetwork network = (BasicNetwork)pattern.generate();
   
    // train it
    MLDataSet training = generateTraining();
    MLTrain train = new TrainAdaline(network,training,0.01);
   
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  public void testAdalineNet() throws Throwable
  {
    ADALINEPattern pattern = new ADALINEPattern();
    pattern.setInputNeurons(2);
    pattern.setOutputNeurons(1);
    BasicNetwork network = (BasicNetwork)pattern.generate();
   
    // train it
    MLDataSet training = new BasicMLDataSet(XOR.XOR_INPUT,XOR.XOR_IDEAL);
    MLTrain train = new TrainAdaline(network,training,0.01);
    NetworkUtil.testTraining(train,0.01);
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        .getInstance().getMainWindow());
    if (dialog.process()) {
      ADALINEPattern adaline = new ADALINEPattern();
      adaline.setInputNeurons(dialog.getNeuronCount().getValue());
      adaline.setOutputNeurons(dialog.getElementCount().getValue());
      return adaline.generate();
    } else
      return null;
  }
 
  private static MLMethod createBAM() {
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  public void testAdalineNet() throws Throwable
  {
    ADALINEPattern pattern = new ADALINEPattern();
    pattern.setInputNeurons(2);
    pattern.setOutputNeurons(1);
    BasicNetwork network = (BasicNetwork)pattern.generate();
   
    // train it
    MLDataSet training = new BasicMLDataSet(XOR.XOR_INPUT,XOR.XOR_IDEAL);
    MLTrain train = new TrainAdaline(network,training,0.01);
    NetworkUtil.testTraining(training,train,0.01);
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