/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 Heaton Research, Inc. * * Licensed 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. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.mathutil.randomize; /** * A randomizer that distorts what is already present in the neural network. * * @author jheaton * */ public class Distort extends BasicRandomizer { /** * The factor to use to distort the numbers. */ private final double factor; /** * Construct a distort randomizer for the specified factor. * * @param factor * The randomizer factor. */ public Distort(final double factor) { this.factor = factor; } /** * Distort the random number by the factor that was specified in the * constructor. * * @param d * The number to distort. * @return The result. */ public double randomize(final double d) { return d + (this.factor - (nextDouble() * this.factor * 2)); } }