private static void SetNNSmoothProcessed(Culture culture, List <GrowthMeasurement> smooth)
{
var neuro = new Neural();
var fitted = Modules.Clone(smooth);
fitted = neuro.GetFittedData(fitted);
culture.GrowthMeasurements.SetMeasurements(fitted, DataType.Fitted);
}
private static void SetNNSmoothFirstDeriv(bool apply, List <GrowthMeasurement> firstDeriv, ref Culture culture)
{
if (!apply)
{
return;
}
var neuroD = new Neural();
var filteredDer = neuroD.GetFittedData(firstDeriv);
culture.GrowthMeasurements.SetMeasurements(filteredDer, DataType.FirstDerivative);
}
private static List <GrowthMeasurement> NNsmoothRawData(bool apply, List <GrowthMeasurement> raw)
{
if (!apply)
{
return(raw);
}
var neuroD = new Neural();
var fittedRaw = neuroD.GetFittedData(raw);
return(fittedRaw);
}
private static List <GrowthMeasurement> NNSmoothProcessedData(bool apply, List <GrowthMeasurement> raw, List <GrowthMeasurement> smooth, float blankValue, CalibrationFunction trueODCalibartionFunction, int count, float maxPeak)
{
if (!apply)
{
return(smooth);
}
var neuroD = new Neural();
var fittedRaw = neuroD.GetFittedData(raw);
return(Modules.ProccessedDatapoints(fittedRaw, blankValue, trueODCalibartionFunction, out count, out maxPeak, true));
}
