static void LaunchANNEO(DataFormater dfr, int n, int kmax, int learnAlgo)
{
int minHLNeurones = 1;
int maxHLNeurones = 15;
int kminL = 40;
int kmaxL = 200;
if (learnAlgo == 0)
{
kminL = 10000;
kmaxL = 21000;
}
var ranges = new List <MonoObjectiveEOALib.Range>
{
new MonoObjectiveEOALib.Range("Activation Function", 0.9, 2.1),
new MonoObjectiveEOALib.Range("Alpha of Activation Function", 0.1, 10),
new MonoObjectiveEOALib.Range("Learning rate", 0.05, 0.1),
new MonoObjectiveEOALib.Range("Momentum/Ajustement", 10, 12),
new MonoObjectiveEOALib.Range("Learning Err", 0.001, 0.01),
new MonoObjectiveEOALib.Range("Max Iteration (Kmax)", kminL, kmaxL),
new MonoObjectiveEOALib.Range("Hiden Layer Number", 1, 5),
new MonoObjectiveEOALib.Range("Layer 1 Nodes count", minHLNeurones, maxHLNeurones),
new MonoObjectiveEOALib.Range("Layer 2 Nodes count", minHLNeurones, maxHLNeurones),
new MonoObjectiveEOALib.Range("Layer 3 Nodes count", minHLNeurones, maxHLNeurones),
new MonoObjectiveEOALib.Range("Layer 4 Nodes count", minHLNeurones, maxHLNeurones),
new MonoObjectiveEOALib.Range("Layer 5 Nodes count", minHLNeurones, maxHLNeurones),
new MonoObjectiveEOALib.Range("Layer 6 Nodes count", minHLNeurones, maxHLNeurones)
};
EANN annEo = new EANN(dfr.TrainingInput, dfr.TrainingOutput, dfr.TestingInput, dfr.TestingOutput);
annEo.Learning_Algorithm = (LearningAlgorithmEnum)learnAlgo;// LearningAlgorithmEnum.LevenbergMarquardtLearning;
annEo.SearchRanges = ranges;
annEo.MaxOptimizationIterations = kmax;
annEo.PopulationSize = n;
annEo.LearnEO();
Console.WriteLine("EO-ANN :-> Best learning scroe = {0} ; EO-ANN :-> Best testing score = {1}", annEo.BestLearningScore, annEo.BestTestingScore);
foreach (var itm in annEo.BestChart)
{
Console.WriteLine(itm);
}
SaveResults(annEo, string.Format("C:\\SSL\\Results_ANN_{0}.txt", fileName.Trim()));
//double[][] xy = new double[][]
// {
// new double []{ 0.8},
// new double []{0.16},
// new double []{0.24},
// new double []{0.35},
// new double []{0.25}
// };
//double[][] xy = new double[][]
//{
// new double []{0.8, 0.12},
// new double []{0.16, 0.10},
// new double []{0.24, 0.26},
// new double []{0.35, 0.10},
// new double []{0.25, 0.12}
//};
//var z = annEo.Compute(xy);
//if (Equals(z, null)) { return; }
//foreach (double value in z)
//{
// Console.WriteLine("z = {0}", Math.Round(value, 3));
//}
}
