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AVS.MLP_Train Method

Creates and trains multilayer perceptron classifier.

Namespace:	AvlNet
Assembly:	AVL.NET.dll

Syntax

public static void MLP_Train
(
	AvlNet.MlpModel inMlpModel,
	IList<IList<float>> inInputVectorArray,
	IList<IList<float>> inResponseVectorArray,
	NullableRef<IList<IList<float>>> inTestInputVectorArray,
	NullableRef<IList<IList<float>>> inTestResponseVectorArray,
	int inIterationCount,
	float inLearningRate,
	float inMomentum,
	int? inRandomSeed,
	AvlNet.MlpModel outMlpModel
)

Parameters

Name	Type	Range	Default	Description
inMlpModel	AvlNet.MlpModel			Initialized MLP model.
inInputVectorArray	System.Collections.Generic.IList<System.Collections.Generic.IList<float>>			Array of features used to train model.
inResponseVectorArray	System.Collections.Generic.IList<System.Collections.Generic.IList<float>>			Array of answers which classifier should get.
inTestInputVectorArray	AvlNet.NullableRef<System.Collections.Generic.IList<System.Collections.Generic.IList<float>>>			Array of features used to test classifier during training process. Default value: atl::NIL.
inTestResponseVectorArray	AvlNet.NullableRef<System.Collections.Generic.IList<System.Collections.Generic.IList<float>>>			Array of answers used to test classifier during training process. Default value: atl::NIL.
inIterationCount	int	<1, INF>	100	Learning iteration count. Default value: 100.
inLearningRate	float	<0.01f, 1.0f>	1.0f	Learning factor. Default value: 1.0f.
inMomentum	float	<0.0f, 1.0f>	0.01f	Learning momentum ratio. Default value: 0.01f.
inRandomSeed	int ?	<0, INF>		Number used as starting random seed. Default value: atl::NIL.
outMlpModel	AvlNet.MlpModel			Trained MlpModel.

AVS.MLP_Train Method

Syntax

Parameters

Function Overrides

See also