Package org.encog.workbench.dialogs.training.methods

Source Code of org.encog.workbench.dialogs.training.methods.InputSOM

/*
* Encog(tm) Workbench v3.0
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 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;
  }



}
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