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Timestamp:
12/30/20 09:31:09 (3 years ago)
Author:
gkronber
Message:

#3075 Use the same noise levels and calculation as in our experiments for the IEEE TeC paper. Reordered instances by name first and noise level second. Removed number of samples from the name.

File:
1 edited

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  • trunk/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Feynman/FeynmanBonus19.cs

    r17678 r17805  
    2929      get {
    3030        return string.Format(
    31           "Weinberg 15.2.2: -1/(8*pi*G)*(c**4*k_f/r**2 + c**2*H_G**2*(1-2*alpha)) | {0} samples | {1}",
    32           trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
     31          "Weinberg 15.2.2: -1/(8*pi*G)*(c**4*k_f/r**2 + c**2*H_G**2*(1-2*alpha)) | {0}",
     32          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3333      }
    3434    }
     
    7878      if (noiseRatio != null) {
    7979        var pr_noise    = new List<double>();
    80         var sigma_noise = (double) noiseRatio * pr.StandardDeviationPop();
     80        var sigma_noise = (double) Math.Sqrt(noiseRatio.Value) * pr.StandardDeviationPop();
    8181        pr_noise.AddRange(pr.Select(md => md + NormalDistributedRandom.NextDouble(rand, 0, sigma_noise)));
    8282        data.Remove(pr);
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