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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/Feynman86.cs

    r17678 r17805  
    2828    public override string Name {
    2929      get {
    30         return string.Format("III.4.32 1/(exp(h*omega/(kb*T))-1) | {0} samples | {1}",
    31           trainingSamples, noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
     30        return string.Format("III.4.32 1/(exp(h*omega/(kb*T))-1) | {0}",
     31          noiseRatio == null ? "no noise" : string.Format(System.Globalization.CultureInfo.InvariantCulture, "noise={0:g}",noiseRatio));
    3232      }
    3333    }
     
    7272      if (noiseRatio != null) {
    7373        var n_noise     = new List<double>();
    74         var sigma_noise = (double) noiseRatio * n.StandardDeviationPop();
     74        var sigma_noise = (double) Math.Sqrt(noiseRatio.Value) * n.StandardDeviationPop();
    7575        n_noise.AddRange(n.Select(md => md + NormalDistributedRandom.NextDouble(rand, 0, sigma_noise)));
    7676        data.Remove(n);
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