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Java example source code file (NeuronSquareMesh2DTest.java)
The NeuronSquareMesh2DTest.java Java example source code/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package org.apache.commons.math3.ml.neuralnet.twod; import java.io.ByteArrayInputStream; import java.io.ByteArrayOutputStream; import java.io.IOException; import java.io.ObjectInputStream; import java.io.ObjectOutputStream; import java.util.Collection; import java.util.Set; import java.util.HashSet; import org.apache.commons.math3.exception.NumberIsTooSmallException; import org.apache.commons.math3.exception.OutOfRangeException; import org.apache.commons.math3.ml.neuralnet.FeatureInitializer; import org.apache.commons.math3.ml.neuralnet.FeatureInitializerFactory; import org.apache.commons.math3.ml.neuralnet.Network; import org.apache.commons.math3.ml.neuralnet.Neuron; import org.apache.commons.math3.ml.neuralnet.SquareNeighbourhood; import org.junit.Assert; import org.junit.Test; /** * Tests for {@link NeuronSquareMesh2D} and {@link Network} functionality for * a two-dimensional network. */ public class NeuronSquareMesh2DTest { final FeatureInitializer init = FeatureInitializerFactory.uniform(0, 2); @Test(expected=NumberIsTooSmallException.class) public void testMinimalNetworkSize1() { final FeatureInitializer[] initArray = { init }; new NeuronSquareMesh2D(1, false, 2, false, SquareNeighbourhood.VON_NEUMANN, initArray); } @Test(expected=NumberIsTooSmallException.class) public void testMinimalNetworkSize2() { final FeatureInitializer[] initArray = { init }; new NeuronSquareMesh2D(2, false, 0, false, SquareNeighbourhood.VON_NEUMANN, initArray); } @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()); } /* * Test assumes that the network is * * 0-----1 * | | * | | * 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()); } } /* * Test assumes that the network is * * 0-----1 * | | * | | * 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))); } } } } /* * Test assumes that the network is * * 0-----1-----2 * | | | * | | | * 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()); } /* * Test assumes that the network is * * 0-----1-----2 * | | | * | | | * 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))); } } } } /* * Test assumes that the network is * * 0-----1-----2 * | | | * | | | * 3-----4-----5 * | | | * | | | * 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()); } /* * Test assumes that the network is * * 0-----1-----2 * | | | * | | | * 3-----4-----5 * | | | * | | | * 6-----7-----8 */ @Test public void test3x3TorusNetwork2() { final FeatureInitializer[] initArray = { init }; final Network net = new NeuronSquareMesh2D(3, true, 3, true, SquareNeighbourhood.MOORE, initArray).getNetwork(); Collection<Neuron> neighbours; // All neurons. for (long id : new long[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 }) { neighbours = net.getNeighbours(net.getNeuron(id)); for (long nId : new long[] { 0, 1, 2, 3, 4, 5, 6, 7, 8 }) { if (id != nId) { Assert.assertTrue("id=" + id + " nId=" + nId, neighbours.contains(net.getNeuron(nId))); } } } } /* * Test assumes that the network is * * 0-----1-----2 * | | | * | | | * 3-----4-----5 * | | | * | | | * 6-----7-----8 */ @Test public void test3x3CylinderNetwork() { final FeatureInitializer[] initArray = { init }; final Network net = new NeuronSquareMesh2D(3, false, 3, true, SquareNeighbourhood.MOORE, initArray).getNetwork(); Collection<Neuron> neighbours; // Neuron 0. neighbours = net.getNeighbours(net.getNeuron(0)); for (long nId : new long[] { 1, 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 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[] { 0, 1, 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 3. neighbours = net.getNeighbours(net.getNeuron(3)); for (long nId : new long[] { 0, 1, 2, 4, 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 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[] { 0, 1, 2, 3, 4, 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 6. neighbours = net.getNeighbours(net.getNeuron(6)); for (long nId : new long[] { 3, 4, 5, 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 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[] { 3, 4, 5, 6, 7 }) { Assert.assertTrue(neighbours.contains(net.getNeuron(nId))); } // Ensures that no other neurons is in the neihbourhood set. Assert.assertEquals(5, neighbours.size()); } /* * Test assumes that the network is * * 0-----1-----2 * | | | * | | | * 3-----4-----5 * | | | * | | | * 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()); } /* * Test assumes that the network is * * 0-----1-----2-----3-----4 * | | | | | * | | | | | * 5-----6-----7-----8-----9 * | | | | | * | | | | | * 10----11----12----13---14 * | | | | | * | | | | | * 15----16----17----18---19 * | | | | | * | | | | | * 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 Other Java examples (source code examples)Here is a short list of links related to this Java NeuronSquareMesh2DTest.java source code file: |
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