IGLib
1.7.2
The IGLib base library for development of numerical, technical and business applications.
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Classes | |
class | IG.Num.NeuralTrainingParameters |
Contains Parameters that define neural network architecture and trainig procedure, together with achieved results after training such as various error norms. More... | |
class | IG.Num.NeuralTrainingLimits |
Contains Parameters that define neural network architecture limits and trainig parameter limits. More... | |
class | IG.Num.NeuralTrainingTable |
Contains Parameters that define neural network architecture and trainig limits, together with achieved results after training such as various error norms. More... | |
class | IG.Num.NeuralTrainingParameters |
Contains Parameters that define neural network architecture and trainig procedure, together with achieved results after training such as various error norms. More... | |
class | IG.Num.NeuralTrainingParameters.ComparerErrorTrainingVector |
class | IG.Num.NeuralTrainingParameters.ComparerBase |
Base comparer class (implementation of the IComparer{NeuralTrainingParameters} interface) for conmparing objects of type NeuralTrainingParameters More... | |
class | IG.Num.NeuralTrainingParameters.ComparerTrainingTime |
class | IG.Num.TestTrainingParametersComparers |
Class for testing of Comparers for NeuralTrainingParameters. More... | |
Namespaces | |
package | IG.Num |