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

org.encog.ml.train.strategy.ResetStrategy
The reset strategy will reset the weights if the neural network fails to fall below a specified error by a specified number of cycles. This can be useful to throw out initially "bad/hard" random initializations of the weight matrix. @author jheaton


    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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    FeedForwardPattern pattern = new FeedForwardPattern();
    pattern.setInputNeurons(1);
    pattern.setOutputNeurons(1);
    BasicNetwork network = (BasicNetwork)pattern.generate();
    
    ResetStrategy strategy = new ResetStrategy(0.95,2);
    MockTrain mock = new MockTrain();
    mock.setNetwork(network);
    mock.addStrategy(strategy);
    mock.setError(0.07);
    MockTrain.setFirstElement(30.0,network);

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    FeedForwardPattern pattern = new FeedForwardPattern();
    pattern.setInputNeurons(1);
    pattern.setOutputNeurons(1);
    BasicNetwork network = (BasicNetwork)pattern.generate();
    
    ResetStrategy strategy = new ResetStrategy(0.95,2);
    MockTrain mock = new MockTrain();
    mock.setNetwork(network);
    mock.addStrategy(strategy);
    mock.setError(0.07);
    MockTrain.setFirstElement(30.0,network);

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Related Classes of org.encog.ml.train.strategy.ResetStrategy

org.encog.examples.neural.image.ImageNeuralNetwork

org.encog.neural.networks.training.TestStrategy

org.encog.neural.networks.training.TrainingError

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