HClassMlp (Class)

Name

HClassMlp — Represents an instance of a multilayer perceptron.

Constructors

`ReadClassMlp`		Read a multilayer perceptron from a file.
`CreateClassMlp`		Create a multilayer perceptron for classification or regression.

Finalizer

This operator is not available as a class member but will be called automatically when the resources of the object instances are to be released. This occurs in the finalization stage of garbage collection, or upon an explicit call of the Dispose() method.

ClearClassMlp Clear a multilayer perceptron.

Methods

`AddClassTrainDataMlp`		Add training data to a multilayer perceptron (MLP).
`AddSampleClassMlp`		Add a training sample to the training data of a multilayer perceptron.
`AddSamplesImageClassMlp`		Add training samples from an image to the training data of a multilayer perceptron.
`ClassifyClassMlp`		Calculate the class of a feature vector by a multilayer perceptron.
`ClassifyImageClassMlp`		Classify an image with a multilayer perceptron.
`ClearSamplesClassMlp`		Clear the training data of a multilayer perceptron.
`CreateClassLutMlp`		Create a look-up table using a multi-layer perceptron to classify byte images.
`CreateClassMlp`		Create a multilayer perceptron for classification or regression.
`DeserializeClassMlp`		Deserialize a serialized multilayer perceptron.
`EvaluateClassMlp`		Calculate the evaluation of a feature vector by a multilayer perceptron.
`GetClassTrainDataMlp`		Get the training data of a multilayer perceptron (MLP).
`GetParamsClassMlp`		Return the parameters of a multilayer perceptron.
`GetPrepInfoClassMlp`		Compute the information content of the preprocessed feature vectors of a multilayer perceptron.
`GetRegularizationParamsClassMlp`		Return the regularization parameters of a multilayer perceptron.
`GetRejectionParamsClassMlp`		Get the parameters of a rejection class.
`GetSampleClassMlp`		Return a training sample from the training data of a multilayer perceptron.
`GetSampleNumClassMlp`		Return the number of training samples stored in the training data of a multilayer perceptron.
`ReadClassMlp`		Read a multilayer perceptron from a file.
`ReadSamplesClassMlp`		Read the training data of a multilayer perceptron from a file.
`SelectFeatureSetMlp`		Selects an optimal combination of features to classify the provided data.
`SerializeClassMlp`		Serialize a multilayer perceptron (MLP).
`SetRegularizationParamsClassMlp`		Set the regularization parameters of a multilayer perceptron.
`SetRejectionParamsClassMlp`		Set the parameters of a rejection class.
`TrainClassMlp`		Train a multilayer perceptron.
`WriteClassMlp`		Write a multilayer perceptron to a file.
`WriteSamplesClassMlp`		Write the training data of a multilayer perceptron to a file.