Examples of NeighborhoodBubble

org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble
A neighborhood function that uses a simple bubble. A radius is defined, and any neuron that is plus or minus that width from the winning neuron will be updated as a result of training. @author jheaton

Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble

    }


    NeighborhoodFunction nf = null;


    if (neighborhoodStr.equalsIgnoreCase("bubble")) {
      nf = new NeighborhoodBubble(1);
    } else if (neighborhoodStr.equalsIgnoreCase("rbf")) {
      final String str = holder.getString(
          MLTrainFactory.PROPERTY_DIMENSIONS, true, null);
      final int[] size = NumberList.fromListInt(CSVFormat.EG_FORMAT, str);
      nf = new NeighborhoodRBF(size, t);

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble

      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:

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble


public class TestNeighborhood extends TestCase {
  
  public void testBubble() throws Throwable
  {
    NeighborhoodBubble bubble = new NeighborhoodBubble(2);
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 4),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1);
  }

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble

    }


    NeighborhoodFunction nf = null;


    if (neighborhoodStr.equalsIgnoreCase("bubble")) {
      nf = new NeighborhoodBubble(1);
    } else if (neighborhoodStr.equalsIgnoreCase("rbf")) {
      final String str = holder.getString(
          MLTrainFactory.PROPERTY_DIMENSIONS, true, null);
      final int[] size = NumberList.fromListInt(CSVFormat.EG_FORMAT, str);
      nf = new NeighborhoodRBF(size, t);

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Examples of org.encog.neural.som.training.basic.neighborhood.NeighborhoodBubble


public class TestNeighborhood extends TestCase {
  
  public void testBubble() throws Throwable
  {
    NeighborhoodBubble bubble = new NeighborhoodBubble(2);
    Assert.assertEquals(0.0, bubble.function(5, 0),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 4),0.1);
    Assert.assertEquals(1.0, bubble.function(5, 5),0.1);
  }

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