Examples of addStrategy()

Examples of org.encog.neural.networks.training.propagation.back.Backpropagation.addStrategy()

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    ((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();
      System.out.println("Training " + what + ", Epoch #" + epoch
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Examples of org.encog.neural.networks.training.propagation.back.Backpropagation.addStrategy()

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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()) {
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Examples of org.encog.neural.networks.training.propagation.back.Backpropagation.addStrategy()

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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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Examples of org.encog.neural.networks.training.propagation.back.Backpropagation.addStrategy()

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    ((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();
      System.out.println("Training " + what + ", Epoch #" + epoch
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Examples of org.encog.neural.networks.training.propagation.back.Backpropagation.addStrategy()

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    } else {
      train.setNumThreads(0);
    }

    for (final Strategy strategy : getStrategies()) {
      train.addStrategy(strategy);
    }

    setTrain(train);
  }
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Examples of org.encog.neural.networks.training.propagation.resilient.ResilientPropagation.addStrategy()

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      final Propagation train = new ResilientPropagation(network,
          useTraining);
      final StopTrainingStrategy strat = new StopTrainingStrategy(0.001,
          5);

      train.addStrategy(strat);
      train.setNumThreads(1); // force single thread mode

      for (int i = 0; (i < this.iterations) && !getShouldStop()
          && !strat.shouldStop(); i++) {
        train.iteration();
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Examples of org.encog.neural.networks.training.propagation.resilient.ResilientPropagation.addStrategy()

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        XORSQL.SQL_PWD);
   
    // train the neural network
    final MLTrain train = new ResilientPropagation(network, trainingSet);
    // reset if improve is less than 1% over 5 cycles
    train.addStrategy(new RequiredImprovementStrategy(5));
   
    int epoch = 1;

    do {
      train.iteration();
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Examples of org.encog.neural.networks.training.propagation.resilient.ResilientPropagation.addStrategy()

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  public static void main(String[] args)
  {
    MLDataSet trainingSet = new BasicMLDataSet(XOR_INPUT, XOR_IDEAL);
    BasicNetwork network = EncogUtility.simpleFeedForward(2, 4, 0, 1, false);
    ResilientPropagation train = new ResilientPropagation(network, trainingSet);
    train.addStrategy(new RequiredImprovementStrategy(5));
   
    System.out.println("Perform initial train.");
    EncogUtility.trainToError(train,0.01);
    TrainingContinuation cont = train.pause();
    System.out.println(Arrays.toString((double[])cont.getContents().get(ResilientPropagation.LAST_GRADIENTS)));
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Examples of org.encog.neural.networks.training.propagation.resilient.ResilientPropagation.addStrategy()

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    final double strategyError = Double.parseDouble(strStrategyError);
    final int strategyCycles = Integer.parseInt(strStrategyCycles);

    final ResilientPropagation train = new ResilientPropagation(this.network, this.training);
    train.addStrategy(new ResetStrategy(strategyError, strategyCycles));

    if (strMode.equalsIgnoreCase("gui")) {
      TrainingDialog.trainDialog(train, this.network, this.training);
    } else {
      final int minutes = Integer.parseInt(strMinutes);
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Examples of org.encog.neural.networks.training.propagation.resilient.ResilientPropagation.addStrategy()

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    } else {
      train.setNumThreads(0);
    }

    for (final Strategy strategy : getStrategies()) {
      train.addStrategy(strategy);
    }

    setTrain(train);
  }
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