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

Examples of org.encog.neural.flat.train.prop.TrainFlatNetworkQPROP


   */
  public QuickPropagation(final ContainsFlat network,
      final MLDataSet training, final double learnRate) {
    super(network, training);
    ValidateNetwork.validateMethodToData(network, training);
    final TrainFlatNetworkQPROP backFlat = new TrainFlatNetworkQPROP(
        network.getFlat(), getTraining(), learnRate);
    setFlatTraining(backFlat);

  }
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   */
  @Override
  public final TrainingContinuation pause() {
    final TrainingContinuation result = new TrainingContinuation();
    result.setTrainingType(this.getClass().getSimpleName());
    final TrainFlatNetworkQPROP qprop = (TrainFlatNetworkQPROP) getFlatTraining();
    final double[] d = qprop.getLastGradient();
    result.set(QuickPropagation.LAST_GRADIENTS, d);
    return result;
  }
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