public void Randomize()
{
ForEachLayer(
layer =>
ForEachNeuron(
layer,
neuron =>
{
for (var i = 0; i < neuron.Weights.Length; i++)
{
neuron.Weights[i] = (float)RND.NextDouble();
}
}));
}
public static double[] plain
(Func<vector,double> f, double[] a, double[] b, int npoints, Random RND=null){
if(RND==null)RND=new Random();
double volume=1; for(int i=0;i<a.Length;i++) volume*=(b[i]-a[i]);
var x=new vector(a.Length);
double average=0,variance=0;
for(int n=0;n<npoints;n++){
for(int i=0;i<x.size;i++) x[i]=a[i]+RND.NextDouble()*(b[i]-a[i]);
double fx=f(x);
double d1=fx-average;
average+=d1/(n+1);
double d2=fx-average;
variance += d1*d2;
}
variance/=(npoints-1);
return new double[] {average*volume,variance*volume/Sqrt(npoints)};
}
/// <summary>
/// Method for generating random value of given range
/// </summary>
/// <returns>
/// Random value from given range
/// </returns>
public override object GenerateRandom()
{
return(RandomMin + Convert.ToSingle(RND.NextDouble()) * (RandomMax - RandomMin));
}
