Examples of Network


Examples of org.apache.commons.math3.ml.neuralnet.Network

     6-----7-----8
     */
    @Test
    public void test3x3CylinderNetwork2() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronSquareMesh2D(3, false,
                                                   3, false,
                                                   SquareNeighbourhood.MOORE,
                                                   initArray).getNetwork();
        Collection<Neuron> neighbours;

        // Neuron 0.
        neighbours = net.getNeighbours(net.getNeuron(0));
        for (long nId : new long[] { 1, 3, 4}) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());

        // Neuron 1.
        neighbours = net.getNeighbours(net.getNeuron(1));
        for (long nId : new long[] { 0, 2, 3, 4, 5 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(5, neighbours.size());

        // Neuron 2.
        neighbours = net.getNeighbours(net.getNeuron(2));
        for (long nId : new long[] { 1, 4, 5 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());

        // Neuron 3.
        neighbours = net.getNeighbours(net.getNeuron(3));
        for (long nId : new long[] { 0, 1, 4, 6, 7 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(5, neighbours.size());

        // Neuron 4.
        neighbours = net.getNeighbours(net.getNeuron(4));
        for (long nId : new long[] { 0, 1, 2, 3, 5, 6, 7, 8 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(8, neighbours.size());

        // Neuron 5.
        neighbours = net.getNeighbours(net.getNeuron(5));
        for (long nId : new long[] { 1, 2, 4, 7, 8 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(5, neighbours.size());

        // Neuron 6.
        neighbours = net.getNeighbours(net.getNeuron(6));
        for (long nId : new long[] { 3, 4, 7 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());

        // Neuron 7.
        neighbours = net.getNeighbours(net.getNeuron(7));
        for (long nId : new long[] { 3, 4, 5, 6, 8 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(5, neighbours.size());

        // Neuron 8.
        neighbours = net.getNeighbours(net.getNeuron(8));
        for (long nId : new long[] { 4, 5, 7 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());
    }
View Full Code Here

Examples of org.apache.commons.math3.ml.neuralnet.Network

        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);
View Full Code Here

Examples of org.apache.commons.math3.ml.neuralnet.Network

        }

        this.wrap = wrap;

        final int fLen = featuresList[0].length;
        network = new Network(0, fLen);
        identifiers = new long[size];

        // Add neurons.
        for (int i = 0; i < size; i++) {
            identifiers[i] = network.createNeuron(featuresList[i]);
View Full Code Here

Examples of org.apache.commons.math3.ml.neuralnet.Network

        size = num;
        this.wrap = wrap;
        identifiers = new long[num];

        final int fLen = featureInit.length;
        network = new Network(0, fLen);

        // Add neurons.
        for (int i = 0; i < num; i++) {
            final double[] features = new double[fLen];
            for (int fIndex = 0; fIndex < fLen; fIndex++) {
View Full Code Here

Examples of org.apache.commons.math3.ml.neuralnet.Network

    @Test
    public void testGetFeaturesSize() {
        final FeatureInitializer[] initArray = { init, init, init };

        final Network net = new NeuronSquareMesh2D(2, false,
                                                   2, false,
                                                   SquareNeighbourhood.VON_NEUMANN,
                                                   initArray).getNetwork();
        Assert.assertEquals(3, net.getFeaturesSize());
    }
View Full Code Here

Examples of org.apache.commons.math3.ml.neuralnet.Network

     2-----3
     */
    @Test
    public void test2x2Network() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronSquareMesh2D(2, false,
                                                   2, false,
                                                   SquareNeighbourhood.VON_NEUMANN,
                                                   initArray).getNetwork();
        Collection<Neuron> neighbours;

        // Neurons 0 and 3.
        for (long id : new long[] { 0, 3 }) {
            neighbours = net.getNeighbours(net.getNeuron(id));
            for (long nId : new long[] { 1, 2 }) {
                Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
            }
            // Ensures that no other neurons is in the neihbourhood set.
            Assert.assertEquals(2, neighbours.size());
        }

        // Neurons 1 and 2.
        for (long id : new long[] { 1, 2 }) {
            neighbours = net.getNeighbours(net.getNeuron(id));
            for (long nId : new long[] { 0, 3 }) {
                Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
            }
            // Ensures that no other neurons is in the neihbourhood set.
            Assert.assertEquals(2, neighbours.size());
        }
    }
View Full Code Here

Examples of org.apache.commons.math3.ml.neuralnet.Network

     2-----3
     */
    @Test
    public void test2x2Network2() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronSquareMesh2D(2, false,
                                                   2, false,
                                                   SquareNeighbourhood.MOORE,
                                                   initArray).getNetwork();
        Collection<Neuron> neighbours;

        // All neurons
        for (long id : new long[] { 0, 1, 2, 3 }) {
            neighbours = net.getNeighbours(net.getNeuron(id));
            for (long nId : new long[] { 0, 1, 2, 3 }) {
                if (id != nId) {
                    Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
                }
            }
        }
    }
View Full Code Here

Examples of org.apache.commons.math3.ml.neuralnet.Network

     3-----4-----5
     */
    @Test
    public void test3x2CylinderNetwork() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronSquareMesh2D(2, false,
                                                   3, true,
                                                   SquareNeighbourhood.VON_NEUMANN,
                                                   initArray).getNetwork();
        Collection<Neuron> neighbours;

        // Neuron 0.
        neighbours = net.getNeighbours(net.getNeuron(0));
        for (long nId : new long[] { 1, 2, 3 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());

        // Neuron 1.
        neighbours = net.getNeighbours(net.getNeuron(1));
        for (long nId : new long[] { 0, 2, 4 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());

        // Neuron 2.
        neighbours = net.getNeighbours(net.getNeuron(2));
        for (long nId : new long[] { 0, 1, 5 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());

        // Neuron 3.
        neighbours = net.getNeighbours(net.getNeuron(3));
        for (long nId : new long[] { 0, 4, 5 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());

        // Neuron 4.
        neighbours = net.getNeighbours(net.getNeuron(4));
        for (long nId : new long[] { 1, 3, 5 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());

        // Neuron 5.
        neighbours = net.getNeighbours(net.getNeuron(5));
        for (long nId : new long[] { 2, 3, 4 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(3, neighbours.size());
    }
View Full Code Here

Examples of org.apache.commons.math3.ml.neuralnet.Network

     3-----4-----5
     */
    @Test
    public void test3x2CylinderNetwork2() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronSquareMesh2D(2, false,
                                             3, true,
                                             SquareNeighbourhood.MOORE,
                                             initArray).getNetwork();
        Collection<Neuron> neighbours;

        // All neurons.
        for (long id : new long[] { 0, 1, 2, 3, 4, 5 }) {
            neighbours = net.getNeighbours(net.getNeuron(id));
            for (long nId : new long[] { 0, 1, 2, 3, 4, 5 }) {
                if (id != nId) {
                    Assert.assertTrue("id=" + id + " nId=" + nId,
                                      neighbours.contains(net.getNeuron(nId)));
                }
            }
        }
    }
View Full Code Here

Examples of org.apache.commons.math3.ml.neuralnet.Network

     6-----7-----8
     */
    @Test
    public void test3x3TorusNetwork() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronSquareMesh2D(3, true,
                                                   3, true,
                                                   SquareNeighbourhood.VON_NEUMANN,
                                                   initArray).getNetwork();
        Collection<Neuron> neighbours;

        // Neuron 0.
        neighbours = net.getNeighbours(net.getNeuron(0));
        for (long nId : new long[] { 1, 2, 3, 6 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());

        // Neuron 1.
        neighbours = net.getNeighbours(net.getNeuron(1));
        for (long nId : new long[] { 0, 2, 4, 7 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());

        // Neuron 2.
        neighbours = net.getNeighbours(net.getNeuron(2));
        for (long nId : new long[] { 0, 1, 5, 8 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());

        // Neuron 3.
        neighbours = net.getNeighbours(net.getNeuron(3));
        for (long nId : new long[] { 0, 4, 5, 6 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());

        // Neuron 4.
        neighbours = net.getNeighbours(net.getNeuron(4));
        for (long nId : new long[] { 1, 3, 5, 7 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());

        // Neuron 5.
        neighbours = net.getNeighbours(net.getNeuron(5));
        for (long nId : new long[] { 2, 3, 4, 8 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());

        // Neuron 6.
        neighbours = net.getNeighbours(net.getNeuron(6));
        for (long nId : new long[] { 0, 3, 7, 8 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());

        // Neuron 7.
        neighbours = net.getNeighbours(net.getNeuron(7));
        for (long nId : new long[] { 1, 4, 6, 8 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());

        // Neuron 8.
        neighbours = net.getNeighbours(net.getNeuron(8));
        for (long nId : new long[] { 2, 5, 6, 7 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());
    }
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.