/* * Encog(tm) Java Examples v3.4 * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-examples * * 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.examples.neural.normalize; import org.encog.util.arrayutil.NormalizationAction; import org.encog.util.arrayutil.NormalizedField; public class SimpleNormalize { public static void main(String[] args) { // Normalize values with an actual range of (0 to 100) to (-1 to 1) NormalizedField norm = new NormalizedField(NormalizationAction.Normalize, null,100,0,1,-1); double x = 5; double y = norm.normalize(x); System.out.println( x + " normalized is " + y); double z = norm.deNormalize(y); System.out.println( y + " denormalized is " + z); } }