Package org.apache.commons.math3.ml.neuralnet

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

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     *  20----21----22----23---24
     */
    @Test
    public void testConcentricNeighbourhood() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronSquareMesh2D(5, true,
                                             5, true,
                                             SquareNeighbourhood.VON_NEUMANN,
                                             initArray).getNetwork();

        Collection<Neuron> neighbours;
        Collection<Neuron> exclude = new HashSet<Neuron>();

        // Level-1 neighbourhood.
        neighbours = net.getNeighbours(net.getNeuron(12));
        for (long nId : new long[] { 7, 11, 13, 17 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(4, neighbours.size());

        // 1. Add the neuron to the "exclude" list.
        exclude.add(net.getNeuron(12));
        // 2. Add all neurons from level-1 neighbourhood.
        exclude.addAll(neighbours);
        // 3. Retrieve level-2 neighbourhood.
        neighbours = net.getNeighbours(neighbours, exclude);
        for (long nId : new long[] { 6, 8, 16, 18, 2, 10, 14, 22 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(8, neighbours.size());
    }
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     *  20----21----22----23---24
     */
    @Test
    public void testConcentricNeighbourhood2() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronSquareMesh2D(5, true,
                                                   5, true,
                                                   SquareNeighbourhood.MOORE,
                                                   initArray).getNetwork();

        Collection<Neuron> neighbours;
        Collection<Neuron> exclude = new HashSet<Neuron>();

        // Level-1 neighbourhood.
        neighbours = net.getNeighbours(net.getNeuron(8));
        for (long nId : new long[] { 2, 3, 4, 7, 9, 12, 13, 14 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(8, neighbours.size());

        // 1. Add the neuron to the "exclude" list.
        exclude.add(net.getNeuron(8));
        // 2. Add all neurons from level-1 neighbourhood.
        exclude.addAll(neighbours);
        // 3. Retrieve level-2 neighbourhood.
        neighbours = net.getNeighbours(neighbours, exclude);
        for (long nId : new long[] { 1, 6, 11, 16, 17, 18, 19, 15, 10, 5, 0, 20, 24, 23, 22, 21 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(16, neighbours.size());
    }
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    @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());
    }
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     *  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());
        }
    }
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     *  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)));
                }
            }
        }
    }
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     *  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());
    }
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     *  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)));
                }
            }
        }
    }
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     *  0-----1-----2-----3
     */
    @Test
    public void testSegmentNetwork() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronString(4, false, initArray).getNetwork();

        Collection<Neuron> neighbours;

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

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

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

        // Neuron 3.
        neighbours = net.getNeighbours(net.getNeuron(3));
        for (long nId : new long[] { 2 }) {
            Assert.assertTrue(neighbours.contains(net.getNeuron(nId)));
        }
        // Ensures that no other neurons is in the neihbourhood set.
        Assert.assertEquals(1, neighbours.size());
    }
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     *  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());
    }
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     *  0-----1-----2-----3
     */
    @Test
    public void testCircleNetwork() {
        final FeatureInitializer[] initArray = { init };
        final Network net = new NeuronString(4, true, initArray).getNetwork();

        Collection<Neuron> neighbours;

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

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

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

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