NeurApp 1.1
NeurApp - software for exploring approximation by artificial neural networks on functions of one or two variables.
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Transfer Object (DTO) for neural network training results. More...
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. |
Transfer Object (DTO) for neural network training results.
$A Tako78 Aug12;
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.
trainingParameters | Object 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.
trainingParameters | Object that the current DTO content is copied to. |
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.