Package org.encog.ml.train.strategy

Examples of org.encog.ml.train.strategy.HybridStrategy

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    final MLTrain trainMain = new Backpropagation(network, trainingSet,0.000001, 0.0);

    ((Propagation)trainMain).setNumThreads(1);
    final StopTrainingStrategy stop = new StopTrainingStrategy();
    trainMain.addStrategy(new Greedy());
    trainMain.addStrategy(new HybridStrategy(trainAlt));
    trainMain.addStrategy(stop);

    int epoch = 0;
    while (!stop.shouldStop()) {
      trainMain.iteration();
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    final MLTrain trainMain = new Backpropagation(network, trainingSet,0.000001, 0.0);

    ((Propagation)trainMain).setNumThreads(1);
    final StopTrainingStrategy stop = new StopTrainingStrategy();
    trainMain.addStrategy(new Greedy());
    trainMain.addStrategy(new HybridStrategy(trainAlt));
    trainMain.addStrategy(stop);

    int epoch = 0;
    while (!stop.shouldStop()) {
      trainMain.iteration();
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  public void testHybrid()
  {
    MockTrain alt = new MockTrain();
   
    HybridStrategy strategy = new HybridStrategy(alt,0.001,2,5 );
   
    MockTrain mock = new MockTrain();
    mock.addStrategy(strategy);
    mock.setError(0.05);
    mock.iteration();
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  public void testHybrid()
  {
    MockTrain alt = new MockTrain();
   
    HybridStrategy strategy = new HybridStrategy(alt,0.001,2,5 );
   
    MockTrain mock = new MockTrain();
    mock.addStrategy(strategy);
    mock.setError(0.05);
    mock.iteration();
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Related Classes of org.encog.ml.train.strategy.HybridStrategy

  • org.encog.examples.neural.recurrent.elman.ElmanXOR
  • org.encog.examples.neural.recurrent.jordan.JordanXOR
  • org.encog.neural.networks.training.TestStrategy
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