Static Public Member Functions

static void ReadAnalysisRequest (string filePath, ref IVector parameters, ref bool reqcalcobj, ref bool reqcalcconstr, ref bool reqcalcgradobj, ref bool reqcalcgradconstr, ref string cd)

Read the analysis data from data file Format: { { p1, p2, … }, { reqcalcobj, reqcalcconstr, reqcalcgradobj, reqcalcgradconstr }, cd } More...

static void GetAnalysisRequest (string requestString, ref IVector parameters, ref bool reqcalcobj, ref bool reqcalcconstr, ref bool reqcalcgradobj, ref bool reqcalcgradconstr, ref string cd)

Read the analysis request data from data file Format: { { p1, p2, … }, { reqcalcobj, reqcalcconstr, reqcalcgradobj, reqcalcgradconstr }, cd } More...

static void ReadAnalysisResult (string filePath, ref IVector parameters, ref bool calcobj, ref bool calcconstr, ref bool calcgradobj, ref bool calcgradconstr, ref double obj, ref IVector constr, ref IVector dobjdp, ref IVector[] dconstr, ref int errorcode, ref bool reqcalcobj, ref bool reqcalcconstr, ref bool reqcalcgradobj, ref bool reqcalcgradconstr)

Read the analysis result data from data file Format: More...

static void GetAnalysisResult (string requestString, ref IVector parameters, ref bool calcobj, ref bool calcconstr, ref bool calcgradobj, ref bool calcgradconstr, ref double obj, ref IVector constr, ref IVector dobjdp, ref IVector[] dconstr, ref int errorcode, ref bool reqcalcobj, ref bool reqcalcconstr, ref bool reqcalcgradobj, ref bool reqcalcgradconstr)

Read the analysis result data from data file Format: More...

static void LoadTrainingDataCSVinOneLine (string filePath, int inputLenght, int outputLenght, bool namesSpecified, bool descriptionSpecified, bool titleSpecified, ref SampledDataSet trainingData, ref InputOutputDataDefiniton definitionData)

Loads training data and Definition data from single CSV file.

Parameters

inputFilePath	Path to the file where training data are saved.
inputLenght	Lenght of input parameters.
outputLenght	Lenght of output parameters.
namesSpecified	Flag if names are specified in the file.
descriptionSpecified	Flag if definitions (descriptions, defaultValue, boundDefiner, minValue, maxValue) are specified in the file.
trainingData	Training data set.
definitionData	Definition data set.

$A Tako78 Mar11; June27; More...

static void LoadTrainingDataCSV (string filePath, int inputLenght, int outputLenght, bool namesSpecified, bool titleSpecified, bool descriptionSpecified, ref SampledDataSet trainingData, ref InputOutputDataDefiniton definitionData)

Loads training data and Definition data from single CSV file.

Parameters

inputFilePath	Path to the file where training data are saved.
inputLenght	Lenght of input parameters.
outputLenght	Lenght of output parameters.
namesSpecified	Flag if names are specified in the file.
descriptionSpecified	Flag if descriptions are specified in the file.
trainingData	Training data set.
definitionData	Definition data set.

$A Tako78 Apr11, June24; More...

static void LoadDefinitionDataCSV (string filePath, int inputLenght, int outputLenght, ref InputOutputDataDefiniton definitionData)

Loads definition data from CSV file. More...

static void SaveTrainingDataCSVinOneLine (string filePath, SampledDataSet trainingData, bool namesSpecified, bool titleSpecified, bool descriptionSpecified, InputOutputDataDefiniton definitionData)

Saves training data and Definition data to single CSV file. More...

static void SaveTrainingDataCSV (string filePath, SampledDataSet trainingData, bool namesSpecified, bool titlesSpecified, bool descriptionSpecified, InputOutputDataDefiniton definitionData)

Saves training data and Definition data to single CSV file. More...

static void SaveDefinitionDataCSV (string filePath, InputOutputDataDefiniton definitionData)

Saves definition data to CSV file. More...

static void SampledDataCombineOutputs (ref SampledDataSet result, params SampledDataSet[] individualSets)

Loads training data and Definition data from multible CSV files. Training data consist of one output and multiple input parameters. Input parameters are the same in all files, output parameter are different. More...

static void LoadTrainingDataCombinedOutputsJSON (ref SampledDataSet trainingData, string directoryPath, params string[] fileNames)

Loads training data and Definition data from multible CSV files. Training data consist of one output and multiple input parameters. Input parameters are the same in all files, output parameter are different. More...

static void LoadTrainingDataCombinedOutputsJSON (ref SampledDataSet trainingData, params string[] fileNames)

Loads training data and Definition data from multible CSV files. Training data consist of one output and multiple input parameters. Input parameters are the same in all files but output parameter should be different. More...

static void SaveTrainingDataJson (string filePath, SampledDataSet trainingData)

Saves network's training data to the specified JSON file. File is owerwritten if it exists. More...

static void SaveDefinitionDataJson (string filePath, InputOutputDataDefiniton trainingData)

Saves network's definition data to the specified JSON file. File is owerwritten if it exists. More...

static void LoadSampledDataJson (string filePath, ref SampledDataSet trainingData)

Restores training data from the specified file in JSON format. More...

static void LoadDefinitionDataJson (string filePath, ref InputOutputDataDefiniton definitionData)

Restores definition data from the specified file in JSON format. More...

static double getStandardDeviation (List< double > doubleList)

Returns the standard deviation. More...

static void SmoothingTrainingData (SampledDataSet trainingData, ref SampledDataSet smoothTrainingData, double numStandardDeviation, bool uniqueInput, bool uniqueOutput, bool zeroData)

Check the training data set and delete unconsistant datas. More...

static INeuralApproximator ExampleCasting (int inputLength, int outputLength, ref SampledDataSet trainingData)

static INeuralApproximator ExampleStore (int inputLength, int outputLength, ref SampledDataSet trainingData)

static INeuralApproximator TrainNetwork (ref INeuralApproximator neuralApp)

static void StoreNetwork (string directoryPath, string fileName, string internalStateFileName, INeuralApproximator neuralApp, bool saveRestored)

static INeuralApproximator ExampleQuadratic (int inputLength, int outputLength)

static void neuronsDataRange (SampledDataSet trainingData, ref List< double[]> inputColumnSet, double inputlowerBound, double inputupperBound, ref List< double[]> outputColumnSet, double outputlowerBound, double outputupperBound)

static void CopyTrainingData (SampledDataSet trainingData, ref SampledDataSet newtrainingData)

Copy training data set to new training data set. More...

Static Private Member Functions
static void	TestArray0Elements ()
	Creates an array with 0 elements. More...

Member Function Documentation

static void IG.Neural.NeuralTadej.ReadAnalysisRequest	(	string	filePath,
		ref IVector	parameters,
		ref bool	reqcalcobj,
		ref bool	reqcalcconstr,
		ref bool	reqcalcgradobj,
		ref bool	reqcalcgradconstr,
		ref string	cd
	)

inlinestatic

Read the analysis data from data file Format: { { p1, p2, … }, { reqcalcobj, reqcalcconstr, reqcalcgradobj, reqcalcgradconstr }, cd }

Parameters

inputFilePath	Path to the file where training data are saved.
parameters	Input and output parameters: { p1, p2, … }.
reqcalcobj	Flag: reqcalcobj.
reqcalcconstr	Flag: reqcalcconstr.
reqcalcgradobj	Flag: reqcalcgradobj.
reqcalcgradconstr	Flag: reqcalcgradconstr.
cd	String: cd.

$A Tako78 Mar11;

static void IG.Neural.NeuralTadej.GetAnalysisRequest	(	string	requestString,
		ref IVector	parameters,
		ref bool	reqcalcobj,
		ref bool	reqcalcconstr,
		ref bool	reqcalcgradobj,
		ref bool	reqcalcgradconstr,
		ref string	cd
	)

inlinestatic

Read the analysis request data from data file Format: { { p1, p2, … }, { reqcalcobj, reqcalcconstr, reqcalcgradobj, reqcalcgradconstr }, cd }

Parameters

requestString	String with request analysis data.
parameters	Input and output parameters: { p1, p2, … }.
reqcalcobj	Flag: reqcalcobj.
reqcalcconstr	Flag: reqcalcconstr.
reqcalcgradobj	Flag: reqcalcgradobj.
reqcalcgradconstr	Flag: reqcalcgradconstr.
cd	String: cd.

$A Tako78 Mar11;

References IG.Lib.UtilStr.ToBoolean().

static void IG.Neural.NeuralTadej.ReadAnalysisResult	(	string	filePath,
		ref IVector	parameters,
		ref bool	calcobj,
		ref bool	calcconstr,
		ref bool	calcgradobj,
		ref bool	calcgradconstr,
		ref double	obj,
		ref IVector	constr,
		ref IVector	dobjdp,
		ref IVector[]	dconstr,
		ref int	errorcode,
		ref bool	reqcalcobj,
		ref bool	reqcalcconstr,
		ref bool	reqcalcgradobj,
		ref bool	reqcalcgradconstr
	)

inlinestatic

Read the analysis result data from data file Format:

Parameters

inputFilePath	Path to the file where training data are saved.
parameters	Input and output parameters: { p1, p2, … }.
calcobj	Flag for the objective function.
calcconstr	Flag for constraint functions.
calcgradobj	Gradient of the objective function.
calcgradconstr	Gradients of constraint functions.
obj	Value of the objective functions.
constr	Values of the constraint functions.
dobjdp	Derivatives of the objective function.
dconstr	Derivatives of individual constraint functions.
errorcode	Integer error code of analysis.
reqcalcobj	Flag for calculation of the various values.
reqcalcconstr	Flag for calculation of the various values.
reqcalcgradobj	Flag for calculation of the various values.
reqcalcgradconstr	Flag for calculation of the various values.

$A Tako78 Apr7;

static void IG.Neural.NeuralTadej.GetAnalysisResult	(	string	requestString,
		ref IVector	parameters,
		ref bool	calcobj,
		ref bool	calcconstr,
		ref bool	calcgradobj,
		ref bool	calcgradconstr,
		ref double	obj,
		ref IVector	constr,
		ref IVector	dobjdp,
		ref IVector[]	dconstr,
		ref int	errorcode,
		ref bool	reqcalcobj,
		ref bool	reqcalcconstr,
		ref bool	reqcalcgradobj,
		ref bool	reqcalcgradconstr
	)

inlinestatic

Read the analysis result data from data file Format:

Parameters

resultString	String with result analysis data.
parameters	Input and output parameters: { p1, p2, … }.
calcobj	Flag for the objective function.
calcconstr	Flag for constraint functions.
calcgradobj	Gradient of the objective function.
calcgradconstr	Gradients of constraint functions.
obj	Value of the objective functions.
constr	Values of the constraint functions.
dobjdp	Derivatives of the objective function.
dconstr	Derivatives of individual constraint functions.
errorcode	Integer error code of analysis.
reqcalcobj	Flag for calculation of the various values.
reqcalcconstr	Flag for calculation of the various values.
reqcalcgradobj	Flag for calculation of the various values.
reqcalcgradconstr	Flag for calculation of the various values.

$A Tako78 Apr7;

References IG.Lib.UtilStr.ToBoolean().

static void IG.Neural.NeuralTadej.LoadTrainingDataCSVinOneLine	(	string	filePath,
		int	inputLenght,
		int	outputLenght,
		bool	namesSpecified,
		bool	descriptionSpecified,
		bool	titleSpecified,
		ref SampledDataSet	trainingData,
		ref InputOutputDataDefiniton	definitionData
	)

inlinestatic

Loads training data and Definition data from single CSV file.

Parameters

inputFilePath	Path to the file where training data are saved.
inputLenght	Lenght of input parameters.
outputLenght	Lenght of output parameters.
namesSpecified	Flag if names are specified in the file.
descriptionSpecified	Flag if definitions (descriptions, defaultValue, boundDefiner, minValue, maxValue) are specified in the file.
trainingData	Training data set.
definitionData	Definition data set.

$A Tako78 Mar11; June27;

References IG.Num.InputOutputElementDefinition.BoundsDefined, IG.Num.InputElementDefinition.DefaultValue, IG.Num.InputOutputElementDefinition.MaximalValue, and IG.Num.InputOutputElementDefinition.MinimalValue.

static void IG.Neural.NeuralTadej.LoadTrainingDataCSV	(	string	filePath,
		int	inputLenght,
		int	outputLenght,
		bool	namesSpecified,
		bool	titleSpecified,
		bool	descriptionSpecified,
		ref SampledDataSet	trainingData,
		ref InputOutputDataDefiniton	definitionData
	)

inlinestatic

Loads training data and Definition data from single CSV file.

Parameters

inputFilePath	Path to the file where training data are saved.
inputLenght	Lenght of input parameters.
outputLenght	Lenght of output parameters.
namesSpecified	Flag if names are specified in the file.
descriptionSpecified	Flag if descriptions are specified in the file.
trainingData	Training data set.
definitionData	Definition data set.

$A Tako78 Apr11, June24;

static void IG.Neural.NeuralTadej.LoadDefinitionDataCSV	(	string	filePath,
		int	inputLenght,
		int	outputLenght,
		ref InputOutputDataDefiniton	definitionData
	)

inlinestatic

Loads definition data from CSV file.

Parameters

inputFilePath	Path to the file where definition data are saved.
inputLenght	Lenght of input parameters.
outputLenght	Lenght of output parameters.
definitionData	Definition data set.

$A Tako78 Mar11; June24;

References IG.Num.InputOutputElementDefinition.BoundsDefined, IG.Num.InputElementDefinition.DefaultValue, IG.Num.InputOutputElementDefinition.MaximalValue, and IG.Num.InputOutputElementDefinition.MinimalValue.

static void IG.Neural.NeuralTadej.SaveTrainingDataCSVinOneLine	(	string	filePath,
		SampledDataSet	trainingData,
		bool	namesSpecified,
		bool	titleSpecified,
		bool	descriptionSpecified,
		InputOutputDataDefiniton	definitionData
	)

inlinestatic

Saves training data and Definition data to single CSV file.

Parameters

inputFilePath	Path to the file where training data will be saved.
trainingData	Training data set.
namesSpecified	Flag if names will be written in the file.
descriptionSpecified	Flag if descriptions (descriptions, defaultValue, boundDefiner, minValue, maxValue) will be written in the file.
definitionData	Definition data set.

$A Tako78 Mar11; June27;

References IG.Num.InputOutputElementDefinition.BoundsDefined, IG.Num.InputElementDefinition.DefaultValue, IG.Num.InputOutputElementDefinition.Description, IG.Num.InputOutputDataDefiniton.GetInputElement(), IG.Num.SampledDataSet.GetInputParameters(), IG.Num.InputOutputDataDefiniton.GetOutputElement(), IG.Num.SampledDataSet.GetOutputValues(), IG.Num.SampledDataSet.InputLength, IG.Num.SampledDataSet.Length, IG.Num.InputOutputElementDefinition.MaximalValue, IG.Num.InputOutputElementDefinition.MinimalValue, IG.Num.InputOutputElementDefinition.Name, IG.Num.SampledDataSet.OutputLength, and IG.Num.InputOutputElementDefinition.Title.

static void IG.Neural.NeuralTadej.SaveTrainingDataCSV	(	string	filePath,
		SampledDataSet	trainingData,
		bool	namesSpecified,
		bool	titlesSpecified,
		bool	descriptionSpecified,
		InputOutputDataDefiniton	definitionData
	)

inlinestatic

Saves training data and Definition data to single CSV file.

Parameters

inputFilePath	Path to the file where training data will be saved.
trainingData	Training data set.
namesSpecified	Flag if names will be written in the file.
descriptionSpecified	Flag if descriptions will be written in the file.
definitionData	Definition data set.

$A Tako78 Mar11; June27;

References IG.Num.InputOutputElementDefinition.Description, IG.Num.InputOutputDataDefiniton.GetInputElement(), IG.Num.SampledDataSet.GetInputParameters(), IG.Num.InputOutputDataDefiniton.GetOutputElement(), IG.Num.SampledDataSet.GetOutputValues(), IG.Num.SampledDataSet.InputLength, IG.Num.SampledDataSet.Length, IG.Num.InputOutputElementDefinition.Name, IG.Num.SampledDataSet.OutputLength, and IG.Num.InputOutputElementDefinition.Title.

static void IG.Neural.NeuralTadej.SaveDefinitionDataCSV	(	string	filePath,
		InputOutputDataDefiniton	definitionData
	)

inlinestatic

Saves definition data to CSV file.

Parameters

inputFilePath	Path to the file where definition data will be saved.
definitionData	Definition data set.

$A Tako78 Mar11; June27;

References IG.Num.InputOutputElementDefinition.BoundsDefined, IG.Num.InputElementDefinition.DefaultValue, IG.Num.InputOutputElementDefinition.Description, IG.Num.InputOutputDataDefiniton.GetInputElement(), IG.Num.InputOutputDataDefiniton.InputLength, IG.Num.InputOutputElementDefinition.MaximalValue, IG.Num.InputOutputElementDefinition.MinimalValue, IG.Num.InputOutputElementDefinition.Name, IG.Num.InputOutputDataDefiniton.OutputLength, and IG.Num.InputOutputElementDefinition.Title.

static void IG.Neural.NeuralTadej.SampledDataCombineOutputs	(	ref SampledDataSet	result,
		params SampledDataSet[]	individualSets
	)

inlinestatic

Loads training data and Definition data from multible CSV files. Training data consist of one output and multiple input parameters. Input parameters are the same in all files, output parameter are different.

Parameters

result	Training data set with combined outputs.
individualSets	Different training data sets with the same inputs and different outputs.

$A Tako78 Mar11;

References IG.Num.SampledDataSet.GetInputParameters(), IG.Num.SampledDataSet.GetOutputValues(), IG.Num.SampledDataSet.InputLength, IG.Num.SampledDataSet.Length, and IG.Num.SampledDataSet.OutputLength.

Referenced by IG.Neural.NeuralTadej.LoadTrainingDataCombinedOutputsJSON().

static void IG.Neural.NeuralTadej.LoadTrainingDataCombinedOutputsJSON	(	ref SampledDataSet	trainingData,
		string	directoryPath,
		params string[]	fileNames
	)

inlinestatic

Loads training data and Definition data from multible CSV files. Training data consist of one output and multiple input parameters. Input parameters are the same in all files, output parameter are different.

Parameters

trainingData	Training data set.
directoryPath	Path to the file where training data are saved.
fileNames	Name of the files where training data are saved.

$A Tako78 Mar11;

static void IG.Neural.NeuralTadej.LoadTrainingDataCombinedOutputsJSON	(	ref SampledDataSet	trainingData,
		params string[]	fileNames
	)

inlinestatic

Loads training data and Definition data from multible CSV files. Training data consist of one output and multiple input parameters. Input parameters are the same in all files but output parameter should be different.

Parameters

fileNames	Path to the file where training data are saved.
trainingData	Training data set.

$A Tako78 Mar11;

References IG.Neural.NeuralTadej.LoadSampledDataJson(), and IG.Neural.NeuralTadej.SampledDataCombineOutputs().

static void IG.Neural.NeuralTadej.SaveTrainingDataJson	(	string	filePath,
		SampledDataSet	trainingData
	)

inlinestatic

Saves network's training data to the specified JSON file. File is owerwritten if it exists.

Parameters

inputFilePath Path to the file where training data is saved.

$A Tako78 Mar11;

static void IG.Neural.NeuralTadej.SaveDefinitionDataJson	(	string	filePath,
		InputOutputDataDefiniton	trainingData
	)

inlinestatic

Saves network's definition data to the specified JSON file. File is owerwritten if it exists.

Parameters

inputFilePath Path to the file where definition data is saved.

$A Tako78 Maj31;

static void IG.Neural.NeuralTadej.LoadSampledDataJson	(	string	filePath,
		ref SampledDataSet	trainingData
	)

inlinestatic

Restores training data from the specified file in JSON format.

Parameters

inputFilePath File from which training data is restored.

$A Tako78 Mar11;

Referenced by IG.Neural.NeuralTadej.LoadTrainingDataCombinedOutputsJSON().

static void IG.Neural.NeuralTadej.LoadDefinitionDataJson	(	string	filePath,
		ref InputOutputDataDefiniton	definitionData
	)

inlinestatic

Restores definition data from the specified file in JSON format.

Parameters

inputFilePath File from which definition data is restored.

$A Tako78 Nov11;

static double IG.Neural.NeuralTadej.getStandardDeviation ( List< double > doubleList )

inlinestatic

Returns the standard deviation.

Parameters

trainingData List of dataset.

$A Tako78 Apr11;

static void IG.Neural.NeuralTadej.SmoothingTrainingData	(	SampledDataSet	trainingData,
		ref SampledDataSet	smoothTrainingData,
		double	numStandardDeviation,
		bool	uniqueInput,
		bool	uniqueOutput,
		bool	zeroData
	)

inlinestatic

Check the training data set and delete unconsistant datas.

Parameters

trainingData	Training data set.
smoothTrainingData	New training data set after.
numStandardDeviation	Number of standard deviation.

$A Tako78 Apr11;

References IG.Num.SampledDataSet.GetElementList(), IG.Num.SampledDataSet.GetInputParameters(), IG.Num.SampledDataSet.GetOutputValues(), IG.Num.SampledDataSet.InputLength, IG.Num.SampledDataElement.InputParameters, IG.Num.SampledDataSet.Length, IG.Num.SampledDataSet.OutputLength, and IG.Num.SampledDataElement.OutputValues.

static INeuralApproximator IG.Neural.NeuralTadej.ExampleCasting	(	int	inputLength,
		int	outputLength,
		ref SampledDataSet	trainingData
	)

inlinestatic

Parameters

inputLength
outputLength
trainingData

Returns

$A Tako78 Mar11;

static INeuralApproximator IG.Neural.NeuralTadej.ExampleStore	(	int	inputLength,
		int	outputLength,
		ref SampledDataSet	trainingData
	)

inlinestatic

Parameters

inputLength
outputLength
trainingData

Returns

$A Tako78 Mar11;

static INeuralApproximator IG.Neural.NeuralTadej.TrainNetwork ( ref INeuralApproximator neuralApp )

inlinestatic

References IG.Num.SampledDataSet.GetInputParameters(), IG.Num.SampledDataSet.GetOutputValues(), IG.Num.VectorBase.Subtract(), and IG.Num.IVector.ToString().

Referenced by IG.Neural.NeuralTadej.StoreNetwork().

static void IG.Neural.NeuralTadej.StoreNetwork	(	string	directoryPath,
		string	fileName,
		string	internalStateFileName,
		INeuralApproximator	neuralApp,
		bool	saveRestored
	)

inlinestatic

References IG.Num.INeuralApproximator.GetErrorsTrainingRms(), IG.Num.INeuralApproximator.GetErrorsVerificationRms(), IG.Num.IVectorApproximator.InputLength, IG.Num.INeuralApproximator.NetworkStateFilePath, IG.Num.IVectorApproximator.OutputLength, IG.Num.INeuralApproximator.SaveNetwork(), IG.Num.INeuralApproximator.TrainNetwork(), and IG.Neural.NeuralTadej.TrainNetwork().

static INeuralApproximator IG.Neural.NeuralTadej.ExampleQuadratic	(	int	inputLength,
		int	outputLength
	)

inlinestatic

Parameters

inputLength
outputLength

Returns

$A Tako78 Mar11;

static void IG.Neural.NeuralTadej.neuronsDataRange	(	SampledDataSet	trainingData,
		ref List< double[]>	inputColumnSet,
		double	inputlowerBound,
		double	inputupperBound,
		ref List< double[]>	outputColumnSet,
		double	outputlowerBound,
		double	outputupperBound
	)

inlinestatic

Parameters

trainingData	Training Data.
inputColumnSet	List of input Parameters.
inputlowerBound	Lower coordinate input neurons range.
inputupperBound	Upper coordinate input neurons range.
outputColumnSet	List of output Parameters.
outputlowerBound	Lower coordinate output neurons range.
outputupperBound	Upper coordinate output neurons range.

$A Tako78 June20;

References IG.Num.SampledDataSet.GetInputParameters(), IG.Num.SampledDataSet.GetOutputValues(), IG.Num.SampledDataSet.InputLength, IG.Num.SampledDataSet.Length, and IG.Num.SampledDataSet.OutputLength.

static void IG.Neural.NeuralTadej.CopyTrainingData	(	SampledDataSet	trainingData,
		ref SampledDataSet	newtrainingData
	)

inlinestatic

Copy training data set to new training data set.

///

Parameters

trainingData	Training data set.
newtrainingData	New training data set.

References IG.Num.SampledDataSet.GetInputParameters(), IG.Num.SampledDataSet.GetOutputValues(), IG.Num.SampledDataSet.InputLength, IG.Num.SampledDataSet.Length, and IG.Num.SampledDataSet.OutputLength.

static void IG.Neural.NeuralTadej.TestArray0Elements ( )

inlinestaticprivate

Creates an array with 0 elements.

$A Tako78 Mar11;

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

extensions/iglibneural/neural/neural_tadej/NeuralTadej.cs

Static Public Member Functions

Static Private Member Functions

Member Function Documentation