Package zdenekdrahos.AI.FeedForward

Examples of zdenekdrahos.AI.FeedForward.FeedForward

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        NetworkTestUtil.assertNetworkWeights(network, expectedWeights);
    }

    private INetworkValues feedForwardNetwork() {
        IFeedForward feedForward = new FeedForward();
        return feedForward.buildNetwork(network, input);
    }
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        //Printing.printNetworkWeights(network);
       
        System.out.println();
        System.out.println("Prediction");
       
        IFeedForward feedForward = new FeedForward();
        INetworkValues values;
        double excepted, real;
        for (int i = 0; i < input.length; i++) {
            values = feedForward.buildNetwork(network, input[i]);
            for (int j = 0; j < output[i].length; j++) {
                excepted = output[i][j];
                real = values.getNeuronValue(network.getOutputLayerIndex(), j);
                System.out.printf("Expected %f , but result %f\n", excepted, real);
            }           
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    }

    private void loadDefaultSettings() {
        settings = new TrainingSettings();
        settings.separator = new DataSeparator();
        settings.feedForward = new FeedForward();
        settings.backPropagation = new BackPropagation();
        settings.simulation = new Simulation();
        settings.errorCalculator = new LeastSquares();
        settings.meanCalculator = new Mean();
    }
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Related Classes of zdenekdrahos.AI.FeedForward.FeedForward

  • zdenekdrahos.AI.ActivationFunctions.IActivationFunction
  • zdenekdrahos.AI.BackPropagation.IBackPropagationTest
  • zdenekdrahos.AI.Training.Builder.TrainingBuilder
  • zdenekdrahos.Testing.MainTrainingXOR
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