Examples of NeuronString

Examples of org.apache.commons.math3.ml.neuralnet.oned.NeuronString

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        // Total number of neurons.
        numberOfNeurons = (int) numNeuronsPerCity * cities.size();

        // Create a network with circle topology.
        net = new NeuronString(numberOfNeurons, true, makeInitializers()).getNetwork();
    }
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Examples of org.apache.commons.math3.ml.neuralnet.oned.NeuronString

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        final FeatureInitializer init
            = new OffsetFeatureInitializer(FeatureInitializerFactory.uniform(0, 0.1));
        final FeatureInitializer[] initArray = { init };

        final int netSize = 3;
        final Network net = new NeuronString(netSize, false, initArray).getNetwork();
        final DistanceMeasure dist = new EuclideanDistance();
        final LearningFactorFunction learning
            = LearningFactorFunctionFactory.exponentialDecay(1, 0.1, 100);
        final NeighbourhoodSizeFunction neighbourhood
            = NeighbourhoodSizeFunctionFactory.exponentialDecay(3, 1, 100);
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Examples of org.apache.commons.math3.ml.neuralnet.oned.NeuronString

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        // Total number of neurons.
        numberOfNeurons = (int) numNeuronsPerCity * cities.size();

        // Create a network with circle topology.
        net = new NeuronString(numberOfNeurons, true, makeInitializers()).getNetwork();
    }
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Examples of org.apache.commons.math3.ml.neuralnet.oned.NeuronString

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    public void testFindClosestNeuron() {
        final FeatureInitializer init
            = new OffsetFeatureInitializer(FeatureInitializerFactory.uniform(-0.1, 0.1));
        final FeatureInitializer[] initArray = { init };

        final Network net = new NeuronString(3, false, initArray).getNetwork();
        final DistanceMeasure dist = new EuclideanDistance();

        final Set<Neuron> allBest = new HashSet<Neuron>();
        final Set<Neuron> best = new HashSet<Neuron>();
        double[][] features;
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