public static TrainingAlgorithm CreateAlgoRithm(TrainingAlgorithmType type)
{
TrainingAlgorithm algorithm;
switch (type)
{
case (TrainingAlgorithmType.Normal):
algorithm = new TrainingAlgorithmNormal();
break;
case (TrainingAlgorithmType.HoldBest):
algorithm = new TrainingAlgorithmHoldBest();
break;
case (TrainingAlgorithmType.HoldBestNarrowLearning):
algorithm = new TrainingAlgorithmHoldBestNarrowLearning();
break;
case (TrainingAlgorithmType.HoldBestInvestigate):
algorithm = new TrainingAlgorithmHoldBestInvestigate();
break;
case (TrainingAlgorithmType.HoldBestCullOutliersInvestigate):
algorithm = new TrainingAlgorithmHoldBestCullOutliersInvestigate();
break;
default:
algorithm = new TrainingAlgorithmNormal();
break;
}
return(algorithm);
}
private void StartUnsafeTraining(TrainingAlgorithmType trainingAlgorithm)
{
switch (trainingAlgorithm)
{
case TrainingAlgorithmType.RProp:
TrainingRProp();
break;
case TrainingAlgorithmType.ParallelRProp:
ParallelTrainingRProp();
break;
case TrainingAlgorithmType.GeneticAlg:
TrainingGeneticAlg(true);
break;
case TrainingAlgorithmType.BProp:
default:
UnsafeTrainingBProp();
break;
}
}
