public void RandomNeuronSwap(NetworkBase <double> child1, NetworkBase <double> child2)
{
for (int i = 0; i < child1.LayerCount; i++)
{
for (int k = 0; k < child1.Layers[i].NeuronCount; k++)
{
if (Random.NextBoolean())
{
var tmp = child1.Layers[i].Neurons[k];
child1.Layers[i].Neurons[k] = child2.Layers[i].Neurons[k];
child2.Layers[i].Neurons[k] = tmp;
}
}
}
}
public static void Main()
{
// 1) Use TRandom to generate a few random numbers - via IGenerator methods.
Console.WriteLine("TRandom in action, used as an IGenerator");
var trandom = new TRandom();
Console.WriteLine(trandom.Next() - trandom.Next(5) + trandom.Next(3, 5));
Console.WriteLine(trandom.NextDouble() * trandom.NextDouble(5.5) * trandom.NextDouble(10.1, 21.9));
Console.WriteLine(trandom.NextBoolean());
Console.WriteLine();
// 2) Use TRandom to generate a few random numbers - via extension methods.
Console.WriteLine("TRandom in action, used as an IGenerator augmented with extension methods");
Console.WriteLine(string.Join(", ", trandom.Integers().Take(10)));
Console.WriteLine(string.Join(", ", trandom.Doubles().Take(10)));
Console.WriteLine(string.Join(", ", trandom.Booleans().Take(10)));
Console.WriteLine();
// 3) Use TRandom to generate a few distributed numbers.
Console.WriteLine("TRandom in action, used as to get distributed numbers");
Console.WriteLine(trandom.Normal(1.0, 0.1));
Console.WriteLine(string.Join(", ", trandom.NormalSamples(1.0, 0.1).Take(20)));
Console.WriteLine(trandom.Poisson(5));
Console.WriteLine(string.Join(", ", trandom.PoissonSamples(5).Take(20)));
Console.WriteLine();
// 4) There are many generators available - XorShift128 is the default.
var alf = new ALFGenerator(TMath.Seed());
var nr3 = new NR3Generator();
var std = new StandardGenerator(127);
// 5) You can also use distribution directly, even with custom generators.
Console.WriteLine("Showcase of some distributions");
Console.WriteLine("Static sample for Normal: " + NormalDistribution.Sample(alf, 1.0, 0.1));
Console.WriteLine("New instance for Normal: " + new NormalDistribution(1.0, 0.1).NextDouble());
Console.WriteLine();
}
/// <summary>
/// Randomly provides a boolean value for telemetry data
/// </summary>
static bool GetRandomBoolean()
{
return(_random.NextBoolean());
}
