NeurApp 1.1
NeurApp - software for exploring approximation by artificial neural networks on functions of one or two variables.

IG::Neural::NeuralTrainingTableDto Class Reference

Transfer Object (DTO) for neural network training results. More...

Collaboration diagram for IG::Neural::NeuralTrainingTableDto:

List of all members.

Public Member Functions

override NeuralTrainingTable CreateObject ()
 Creates and returns a new object of the corresponding type.

Public Attributes

NeuralTrainingLimitsDto TrainingLimits
 Contains Parameters that define neural network architecture limits and trainig parameter limits.
NeuralTrainingParametersDto[] TrainingParameters
 Contains Parameters that define neural network architecture and trainig procedure, together with achieved results after training such as various error norms.

Protected Member Functions

override void CopyFromPlain (NeuralTrainingTable trainingResults)
 Copies the specified training results to the current DTO.
override void CopyToPlain (ref NeuralTrainingTable trainingResults)
 Copies contents of the current DTO to the specified training results object.

Detailed Description

Transfer Object (DTO) for neural network training results.

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Member Function Documentation

override NeuralTrainingTable IG::Neural::NeuralTrainingTableDto::CreateObject ( ) [inline]

Creates and returns a new object of the corresponding type.

override void IG::Neural::NeuralTrainingTableDto::CopyFromPlain ( NeuralTrainingTable  trainingResults) [inline, protected]

Copies the specified training results to the current DTO.

Parameters:
trainingParametersObject that is copied to the current DTO.
override void IG::Neural::NeuralTrainingTableDto::CopyToPlain ( ref NeuralTrainingTable  trainingResults) [inline, protected]

Copies contents of the current DTO to the specified training results object.

Parameters:
trainingParametersObject that the current DTO content is copied to.

Member Data Documentation

Contains Parameters that define neural network architecture limits and trainig parameter limits.

Contains Parameters that define neural network architecture and trainig procedure, together with achieved results after training such as various error norms.


The documentation for this class was generated from the following file:
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