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Timestamp:
08/08/12 14:04:17 (12 years ago)
Author:
mkommend
Message:

#1081: Intermediate commit of trunk updates - interpreter changes must be redone.

Location:
branches/HeuristicLab.TimeSeries
Files:
3 edited

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  • branches/HeuristicLab.TimeSeries

    • Property svn:ignore
      •  

        old new  
        2020bin
        2121protoc.exe
         22_ReSharper.HeuristicLab.TimeSeries-3.3
  • branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.Instances.DataAnalysis

  • branches/HeuristicLab.TimeSeries/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/RationalPolynomialThreeDimensional.cs

    r7849 r8430  
    2727  public class RationalPolynomialThreeDimensional : ArtificialRegressionDataDescriptor {
    2828
    29     public override string Name { get { return "Vladislavleva RatPol3D"; } }
     29    public override string Name { get { return "Vladislavleva-5 F5(X1, X2, X3) = 30 * ((X1 - 1) * (X3 -1)) / (X2² * (X1 - 10))"; } }
    3030    public override string Description {
    3131      get {
    3232        return "Paper: Order of Nonlinearity as a Complexity Measure for Models Generated by Symbolic Regression via Pareto Genetic Programming " + Environment.NewLine
    3333        + "Authors: Ekaterina J. Vladislavleva, Member, IEEE, Guido F. Smits, Member, IEEE, and Dick den Hertog" + Environment.NewLine
    34         + "Function: F5(X1, X2, X3) = 30 * ((X1 - 1) * (X3 -1)) / (X2^2 * (X1 - 10))" + Environment.NewLine
     34        + "Function: F5(X1, X2, X3) = 30 * ((X1 - 1) * (X3 -1)) / (X2² * (X1 - 10))" + Environment.NewLine
    3535        + "Training Data: 300 points X1, X3 = Rand(0.05, 2), X2 = Rand(1, 2)" + Environment.NewLine
    3636        + "Test Data: 2701 points X1, X3 = (-0.05:0.15:2.1), X2 = (0.95:0.1:2.05)" + Environment.NewLine
    37         + "Function Set: +, -, *, /, sqaure, x^real, x + real, x + real";
     37        + "Function Set: +, -, *, /, square, x^eps, x + eps, x * eps";
    3838      }
    3939    }
     
    4949      List<List<double>> data = new List<List<double>>();
    5050
    51       int amountOfPoints = 1000;
    52       data.Add(ValueGenerator.GenerateUniformDistributedValues(amountOfPoints, 0.05, 2).ToList());
    53       data.Add(ValueGenerator.GenerateUniformDistributedValues(amountOfPoints, 1, 2).ToList());
    54       data.Add(ValueGenerator.GenerateUniformDistributedValues(amountOfPoints, 0.05, 2).ToList());
     51      int n = 1000;
     52      data.Add(ValueGenerator.GenerateUniformDistributedValues(n, 0.05, 2).ToList());
     53      data.Add(ValueGenerator.GenerateUniformDistributedValues(n, 1, 2).ToList());
     54      data.Add(ValueGenerator.GenerateUniformDistributedValues(n, 0.05, 2).ToList());
    5555
    5656      List<List<double>> testData = new List<List<double>>() {
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