public CvANN_MLP_TrainParams(
	TermCriteria termCrit,
	MLPTrainingMethod trainMethod,
	double param1,
	double param2 = 0
)

Public Sub New ( 
	termCrit As TermCriteria,
	trainMethod As MLPTrainingMethod,
	param1 As Double,
	Optional param2 As Double = 0
)

public:
CvANN_MLP_TrainParams(
	TermCriteria termCrit, 
	MLPTrainingMethod trainMethod, 
	double param1, 
	double param2 = 0
)

new : 
        termCrit : TermCriteria * 
        trainMethod : MLPTrainingMethod * 
        param1 : float * 
        ?param2 : float 
(* Defaults:
        let _param2 = defaultArg param2 0
*)
-> CvANN_MLP_TrainParams

Parameters

termCrit

Type: OpenCvSharp.CPlusPlusTermCriteria
The termination criteria for the training algorithm. It identifies how many iterations is done by the algorithm (for sequential backpropagation algorithm the number is multiplied by the size of the training set) and how much the weights could change between the iterations to make the algorithm continue.

trainMethod

Type: OpenCvSharp.CPlusPlusMLPTrainingMethod
The training algorithm to use

param1

Type: SystemDouble

[Missing <param name="param1"/> documentation for "M:OpenCvSharp.CPlusPlus.CvANN_MLP_TrainParams.#ctor(OpenCvSharp.CPlusPlus.TermCriteria,OpenCvSharp.CPlusPlus.MLPTrainingMethod,System.Double,System.Double)"]

param2 (Optional)

Type: SystemDouble

[Missing <param name="param2"/> documentation for "M:OpenCvSharp.CPlusPlus.CvANN_MLP_TrainParams.#ctor(OpenCvSharp.CPlusPlus.TermCriteria,OpenCvSharp.CPlusPlus.MLPTrainingMethod,System.Double,System.Double)"]

Reference