public static double[] mlp_predict(MLP model, double[] input)
{
return(model.Predict(input));
}
public static int mlp_fit_classification_backdrop(MLP model, double[][] inputs, double[] outputs, int iterationNumber, double step)
{
return(model.FitClassificationBackDrop(inputs, outputs, iterationNumber, step));
}
public static double[] mlp_classify(MLP model, double[] input)
{
return(model.Classify(input));
}
public static MLP mlp_create_model(int numLayers, int[] npl)
{
MLP result = new MLP(numLayers, npl);
return(result);
}
