private void NeuroEvolution(Assert assert)
{
var random = new Random(100);
var neuro = new NeuroEvolution(new BaseFitnessTest(), 1000, () => new NeuralNetwork(random, 1, new[] { 2, 4, 2 }, 2, 0.1), random);
IGeneration firstGen = null;
INeuralNetwork bestnet = null;
//neuro.GenerationFinished += (sender, generation) => { Console.WriteLine(generation.Best.Error); };
firstGen = neuro.EvolveGeneration();
// bestnet = neuro.Evolve(1);
for (int i = 0; i < 10; i++)
{
bestnet = neuro.EvolveGeneration().Best;
}
assert.Ok(firstGen.Best.Error < bestnet?.Error);
}
private static void ListCountAssert(Assert assert, NeuroEvolution neuro)
{
neuro.EvolveGeneration();
assert.Ok(neuro.NeuralNetworks.ToList().Count == 100, neuro.NeuralNetworks.ToList().Count.ToString());
}
