Package org.encog.mathutil.rbf

Examples of org.encog.mathutil.rbf.MexicanHatFunction

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          break;
        case 2:
          this.rbf = new InverseMultiquadricFunction(1.0,center,1.0);
          break;
        case 3:
          this.rbf = new MexicanHatFunction(1.0,center,1.0);
          break;         
      }
     
      XYDataset dataset = this.createDataset();
      JFreeChart chart = this.createChart(dataset);
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      break;
    case Multiquadric:
      this.rbf = new MultiquadricFunction(2);
      break;
    case MexicanHat:
      this.rbf = new MexicanHatFunction(2);
      break;
    }

    this.rbf.setWidth(1);
    EngineArray.arrayCopy(centerArray, this.rbf.getCenters());
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      break;
    case Multiquadric:
      this.rbf = new MultiquadricFunction(2);
      break;
    case MexicanHat:
      this.rbf = new MexicanHatFunction(2);
      break;
    }
    this.size = size;
    calculateDisplacement();
  }
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        break;
      case Multiquadric:
        this.radial = new MultiquadricFunction(1);
        break;
      case MexicanHat:
        this.radial = new MexicanHatFunction(1);
        break;   
      default:
        throw new NeuralNetworkError("Unknown RBF type: " + type.toString());
    }
   
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    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:
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      break;
    case Multiquadric:
      this.rbf = new MultiquadricFunction(2);
      break;
    case MexicanHat:
      this.rbf = new MexicanHatFunction(2);
      break;
    }

    this.rbf.setWidth(1);
    EngineArray.arrayCopy(centerArray, this.rbf.getCenters());
View Full Code Here
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      break;
    case Multiquadric:
      this.rbf = new MultiquadricFunction(size.length);
      break;
    case MexicanHat:
      this.rbf = new MexicanHatFunction(size.length);
      break;
    }
    this.size = size;
    calculateDisplacement();
  }
View Full Code Here
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        break;
      case Multiquadric:
        this.radial = new MultiquadricFunction(1);
        break;
      case MexicanHat:
        this.radial = new MexicanHatFunction(1);
        break;   
      default:
        throw new NeuralNetworkError("Unknown RBF type: " + type.toString());
    }
   
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Related Classes of org.encog.mathutil.rbf.MexicanHatFunction

  • org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF
  • org.encog.neural.som.training.basic.neighborhood.NeighborhoodRBF1D
  • org.encog.workbench.dialogs.training.methods.InputSOM
  • org.encog.workbench.tabs.rbf.RadialBasisFunctionsTab
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