What is a working configuration of a neuronal network (number of layers, lerning rate and so on) for a specific dataset?

I try to solve some easy functions with a neuronal network (aforge-lib): This is how I generate the dataset: const int GesamtAnzahl = 200; float[,] tempData = new float[GesamtAnzahl, 2]; float minX = float.MaxValue; float maxX = float.MinValue; Random rnd = new Random(); var granzen = new List<int>() { rnd.Next(1, GesamtAnzahl-1), rnd.Next(1, GesamtAnzahl-1), rnd.Next(1, GesamtAnzahl-1),…