|
Java example source code file (NeuronStringTest.java)
The NeuronStringTest.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.oned; import java.io.ByteArrayInputStream; import java.io.ByteArrayOutputStream; import java.io.IOException; import java.io.ObjectInputStream; import java.io.ObjectOutputStream; import java.util.ArrayList; import java.util.Collection; 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.junit.Assert; import org.junit.Test; /** * Tests for {@link NeuronString} and {@link Network} functionality for * a one-dimensional network. */ public class NeuronStringTest { final FeatureInitializer init = FeatureInitializerFactory.uniform(0, 2); /* * Test assumes that the network is * * 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()); } /* * Test assumes that the network is * * 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()); } /* * Test assumes that the network is * * 0-----1-----2-----3-----4 */ @Test public void testGetNeighboursWithExclude() { final FeatureInitializer[] initArray = { init }; final Network net = new NeuronString(5, true, initArray).getNetwork(); final Collection<Neuron> exclude = new ArrayList Other Java examples (source code examples)Here is a short list of links related to this Java NeuronStringTest.java source code file: |
... this post is sponsored by my books ... | |
#1 New Release! |
FP Best Seller |
Copyright 1998-2021 Alvin Alexander, alvinalexander.com
All Rights Reserved.
A percentage of advertising revenue from
pages under the /java/jwarehouse
URI on this website is
paid back to open source projects.