Package org.encog.neural.networks.training.strategy

Examples of org.encog.neural.networks.training.strategy.SmartLearningRate

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   * @param training
   *            The training data to be used for backpropagation.
   */
  public Backpropagation(final ContainsFlat network, final MLDataSet training) {
    this(network, training, 0, 0);
    addStrategy(new SmartLearningRate());
    addStrategy(new SmartMomentum());
  }
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    FeedForwardPattern pattern = new FeedForwardPattern();
    pattern.setInputNeurons(1);
    pattern.setOutputNeurons(1);
    BasicNetwork network = (BasicNetwork)pattern.generate();
   
    SmartLearningRate strategy1 = new SmartLearningRate();
    SmartMomentum strategy2 = new SmartMomentum();
    MockTrain mock = new MockTrain();
    mock.setNetwork(network);
    mock.setTraining(XOR.createXORDataSet());
    mock.addStrategy(strategy1);
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   * @param training
   *            The training data to be used for backpropagation.
   */
  public Backpropagation(final ContainsFlat network, final MLDataSet training) {
    this(network, training, 0, 0);
    addStrategy(new SmartLearningRate());
    addStrategy(new SmartMomentum());
  }
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    FeedForwardPattern pattern = new FeedForwardPattern();
    pattern.setInputNeurons(1);
    pattern.setOutputNeurons(1);
    BasicNetwork network = (BasicNetwork)pattern.generate();
   
    SmartLearningRate strategy1 = new SmartLearningRate();
    SmartMomentum strategy2 = new SmartMomentum();
    MockTrain mock = new MockTrain();
    mock.setNetwork(network);
    mock.setTraining(XOR.createXORDataSet());
    mock.addStrategy(strategy1);
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Related Classes of org.encog.neural.networks.training.strategy.SmartLearningRate

  • org.encog.neural.networks.training.propagation.back.Backpropagation
  • org.encog.neural.networks.training.TestStrategy
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