Package org.encog.neural.flat.train.prop

Examples of org.encog.neural.flat.train.prop.TrainFlatNetworkResilient.iteration()

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    final TrainFlatNetworkResilient train = new TrainFlatNetworkResilient(
        network, trainingSet);

    for (int iteration = 1; iteration <= ITERATIONS; iteration++) {
      train.iteration();

      System.out.println();
      System.out.println("*** Iteration #" + iteration);
      System.out.println("Error: " + train.getError());
      evaluate(network,trainingSet);
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    //train.setTargetDevice(Encog.getInstance().getCL().getDevices().get(0));
   
    int epoch = 1;

    do {
      train.iteration();
      System.out
          .println("Epoch #" + epoch + " Error:" + train.getError());
      epoch++;
    } while(train.getError() > 0.01 );
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