/** * Copyright 2010 Neuroph Project http://neuroph.sourceforge.net * * 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. */ package org.neuroph.core.transfer; import java.io.Serializable; import org.neuroph.util.Properties; /** * Linear neuron transfer function. * * @author Zoran Sevarac <sevarac@gmail.com> */ public class Linear extends TransferFunction implements Serializable { /** * The class fingerprint that is set to indicate serialization * compatibility with a previous version of the class. */ private static final long serialVersionUID = 1L; /** * The slope parametetar of the linear function */ private double slope = 1d; /** * Creates an instance of Linear transfer function */ public Linear() { } /** * Creates an instance of Linear transfer function with specified value * for getSlope parametar. */ public Linear(double slope) { this.slope = slope; } /** * Creates an instance of Linear transfer function with specified properties */ public Linear(Properties properties) { try { this.slope = (Double)properties.getProperty("transferFunction.slope"); } catch (NullPointerException e) { // if properties are not set just leave default values } catch (NumberFormatException e) { System.err.println("Invalid transfer function properties! Using default values."); } } /** * Returns the slope parametar of this function * @return slope parametar of this function */ public double getSlope() { return this.slope; } /** * Sets the slope parametar for this function * @param slope value for the slope parametar */ public void setSlope(double slope) { this.slope = slope; } @Override public double getOutput(double net) { return slope * net; } @Override public double getDerivative(double net) { return this.slope; } }