Package aima.core.learning.neural

Examples of aima.core.learning.neural.BackPropLearning


          .setConfig(FeedForwardNeuralNetwork.LOWER_LIMIT_WEIGHTS,
              -2.0);
      config.setConfig(FeedForwardNeuralNetwork.UPPER_LIMIT_WEIGHTS, 2.0);

      FeedForwardNeuralNetwork ffnn = new FeedForwardNeuralNetwork(config);
      ffnn.setTrainingScheme(new BackPropLearning(0.1, 0.9));

      ffnn.trainOn(innds, 10);

      innds.refreshDataset();
      int[] result = ffnn.testOnDataSet(innds);
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    double learningRate = 0.1;
    double momentumFactor = 0.0;
    FeedForwardNeuralNetwork ffnn = new FeedForwardNeuralNetwork(
        hiddenLayerWeightMatrix, hiddenLayerBiasVector,
        outputLayerWeightMatrix, outputLayerBiasVector);
    ffnn.setTrainingScheme(new BackPropLearning(learningRate,
        momentumFactor));
    ffnn.processInput(input);
    ffnn.processError(error);

    Matrix finalHiddenLayerWeights = ffnn.getHiddenLayerWeights();
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    double momentumFactor = 0.5;
    FeedForwardNeuralNetwork ffnn = new FeedForwardNeuralNetwork(
        hiddenLayerWeightMatrix, hiddenLayerBiasVector,
        outputLayerWeightMatrix, outputLayerBiasVector);

    ffnn.setTrainingScheme(new BackPropLearning(learningRate,
        momentumFactor));
    ffnn.processInput(input);
    ffnn.processError(error);

    Matrix finalHiddenLayerWeights = ffnn.getHiddenLayerWeights();
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    config.setConfig(FeedForwardNeuralNetwork.NUMBER_OF_HIDDEN_NEURONS, 6);
    config.setConfig(FeedForwardNeuralNetwork.LOWER_LIMIT_WEIGHTS, -2.0);
    config.setConfig(FeedForwardNeuralNetwork.UPPER_LIMIT_WEIGHTS, 2.0);

    FeedForwardNeuralNetwork ffnn = new FeedForwardNeuralNetwork(config);
    ffnn.setTrainingScheme(new BackPropLearning(0.1, 0.9));

    ffnn.trainOn(innds, 10);

    innds.refreshDataset();
    ffnn.testOnDataSet(innds);
View Full Code Here

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