/*
 * Encog(tm) Core v3.2 - Java Version
 * http://www.heatonresearch.com/encog/
 * https://github.com/encog/encog-java-core

 * Copyright 2008-2013 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.neural.art;

import org.encog.ml.BasicML;

/**
 * Adaptive Resonance Theory (ART) is a form of neural network developed
 * by Stephen Grossberg and Gail Carpenter. There are several versions
 * of the ART neural network, which are numbered ART-1, ART-2 and ART-3.
 * The ART neural network is trained using either a supervised or
 * unsupervised learning algorithm, depending on the version of ART being
 * used. ART neural networks are used for pattern recognition and prediction.
 *
 * Plasticity is an important part for all Adaptive Resonance Theory (ART)
 * neural networks. Unlike most neural networks, ART networks do not have
 * a distinct training and usage stage. The ART network will learn as it is
 * used.
 */
public class ART extends BasicML {

    /**
     * Serial id.
     */
    private static final long serialVersionUID = 1L;
    /**
     * Neural network property, the A1 parameter.
     */
    public static final String PROPERTY_A1 = "A1";
    /**
     * Neural network property, the B1 parameter.
     */
    public static final String PROPERTY_B1 = "B1";
    /**
     * Neural network property, the C1 parameter.
     */
    public static final String PROPERTY_C1 = "C1";
    /**
     * Neural network property, the D1 parameter.
     */
    public static final String PROPERTY_D1 = "D1";
    /**
     * Neural network property, the L parameter.
     */
    public static final String PROPERTY_L = "L";
    /**
     * Neural network property, the vigilance parameter.
     */
    public static final String PROPERTY_VIGILANCE = "VIGILANCE";
    /**
     * Neural network property for no winner.
     */
    public static final String PROPERTY_NO_WINNER = "noWinner";

    /**
     * {@inheritDoc}
     */
    @Override
    public void updateProperties() {
        // unneeded
    }
}
