/*
* Encog(tm) Workbench v3.4
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-workbench
*
* 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.workbench.dialogs.training.methods;
import java.util.ArrayList;
import java.util.List;
import org.encog.mathutil.rbf.GaussianFunction;
import org.encog.mathutil.rbf.InverseMultiquadricFunction;
import org.encog.mathutil.rbf.MexicanHatFunction;
import org.encog.mathutil.rbf.MultiquadricFunction;
import org.encog.mathutil.rbf.RBFEnum;
import org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble;
import org.encog.neural.som.training.basic.neighborhood.NeighborhoodFunction;
import org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF;
import org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D;
import org.encog.neural.som.training.basic.neighborhood.NeighborhoodSingle;
import org.encog.workbench.EncogWorkBench;
import org.encog.workbench.dialogs.common.CheckField;
import org.encog.workbench.dialogs.common.ComboBoxField;
import org.encog.workbench.dialogs.common.DoubleField;
import org.encog.workbench.dialogs.common.IntegerField;
import org.encog.workbench.dialogs.training.DialogMaxError;
/**
* Input data to train a SOM network.
* @author jheaton
*
*/
public class InputSOM extends DialogMaxError {
/**
* The serial ID.
*/
private static final long serialVersionUID = 1L;
private final DoubleField learningRate;
private final ComboBoxField neighborhoodType;
private final DoubleField rbfWidth;
private final IntegerField rows;
private final IntegerField cols;
private final CheckField forceWinner;
/**
* Construct the dialog box.
* @param owner The owner.
*/
public InputSOM() {
super(false);
List<String> list = new ArrayList<String>();
list.add("1D RBF - Gaussian");
list.add("1D RBF - MexicanHat");
list.add("1D RBF - Multiquadric");
list.add("1D RBF - InverseMultiquadric");
list.add("1D - Bubble");
list.add("1D - Single");
list.add("2D RBF - Gaussian");
list.add("2D RBF - MexicanHat");
list.add("2D RBF - Multiquadric");
list.add("2D RBF - InverseMultiquadric");
setTitle("Train SOM Network");
addProperty(this.learningRate = new DoubleField("learning rate","Learning Rate",true,0,-1));
addProperty(this.neighborhoodType = new ComboBoxField("neighborhood","Neighborhood Type",true,list));
addProperty(this.rbfWidth = new DoubleField("rbf width","RBF Width",true,0,1000));
addProperty(this.cols = new IntegerField("cols", "2D RBF Columns",true,0,1000000));
addProperty(this.rows = new IntegerField("rows", "2D RBF Rows",true,0,1000000));
addProperty(this.forceWinner = new CheckField("force winner","Force Winner"));
render();
this.learningRate.setValue(0.25);
this.getRBFWidth().setValue(2);
this.getCols().setValue(1);
this.getRows().setValue(1);
this.getForceWinner().setValue(true);
}
public DoubleField getLearningRate() {
return learningRate;
}
public NeighborhoodFunction getNeighborhoodFunction() {
switch( neighborhoodType.getSelectedIndex() )
{
case 0:
return new NeighborhoodRBF1D( new GaussianFunction(0,1,this.rbfWidth.getValue()));
case 1:
return new NeighborhoodRBF1D( new MexicanHatFunction(0,1,this.rbfWidth.getValue()));
case 2:
return new NeighborhoodRBF1D( new MultiquadricFunction(0,1,this.rbfWidth.getValue()));
case 3:
return new NeighborhoodRBF1D( new InverseMultiquadricFunction(0,1,this.rbfWidth.getValue()));
case 4:
return new NeighborhoodBubble( (int)this.rbfWidth.getValue() );
case 5:
return new NeighborhoodSingle( );
case 6:
return new NeighborhoodRBF(RBFEnum.Gaussian, this.cols.getValue(), this.rows.getValue());
case 7:
return new NeighborhoodRBF(RBFEnum.MexicanHat, this.cols.getValue(), this.rows.getValue());
case 8:
return new NeighborhoodRBF(RBFEnum.Multiquadric, this.cols.getValue(), this.rows.getValue());
case 9:
return new NeighborhoodRBF(RBFEnum.InverseMultiquadric, this.cols.getValue(), this.rows.getValue());
default:
return null;
}
}
public DoubleField getRBFWidth() {
return rbfWidth;
}
public IntegerField getRows() {
return rows;
}
public IntegerField getCols() {
return cols;
}
public CheckField getForceWinner() {
return forceWinner;
}
}