Class containing direct analysis (in optimization) based on neural network optimization. More...

Inheritance diagram for IG.Neural.AnalysisFileServerNeural:

Collaboration diagram for IG.Neural.AnalysisFileServerNeural:

Public Member Functions
	AnalysisFileServerNeural (string workingDirectoryPath)
	Constructor, sets object's working directory to the specified path. More...

virtual void	Analyse (IAnalysisResults analysisData)
	Performs analysis - calculates requested results and writes them to the provided data structure. More...

override void	ClearMessages ()
	Clears all messages in the neural network approximator's file client/server directory. More...

virtual void	ServerAnalyse ()
	Performs server-side direct analysis. Reads analysis input from standard location, calculates output and writes it to the standard location. More...

virtual void	ClientCalculateAnalysisResults (AnalysisResults anRes)
	Calculates analysis results by using the analysis server. More...

virtual void	ClientTestCalculateAnalysisResults (string inputFilePath, bool reqObjective, bool reqConstraints, bool reqObjectiveGradient, bool reqConstraintGradients, string outputFilePath)
	Performs client-side test calculation of analysis response. More...

Public Member Functions inherited from IG.Neural.ApproximationFileServerNeural
	ApproximationFileServerNeural (string workingDirectoryPath)

virtual void	ServerCalculateApproximation ()
	Performs server-side calculation of the approximation. Reads input from standard location, calculates output and writes it to the standard location. More...

virtual void	ClientCalculateApproximation (IVector input, ref IVector output)
	Calculates the neural network based approximated values. More...

virtual void	ClientTestCalculateApproximation (string inputFilePath, string outputFilePath)
	Performs client-side test calculation of neural network based approximation where input parameters are read from a specified JSON file, and calculated output values are written to the specified file. More...

Protected Member Functions
virtual void	AnalysisToApproximationInput (IVector anInput, ref IVector approximationInput)
	Converts analysis input parameters to approximation input parameters. More...

virtual void	ApproximationToAnalysisOutput (IVector approxOuptut, IAnalysisResults anResults)
	Converts approximation output to direct analysis results. Sets objective function to sum of squares of approximated values. WARNING: This method should be overridden in derived classes. More...

Properties
OptFileManager	OptimizationFileManager `[get, set]`

int	NumParameters `[get, set]`
	Number of parameters. More...

int	NumObjectives `[get, set]`
	Number of objective functions (normally 1 for this type, but can be 0). More...

int	NumConstraints `[get, set]`
	Number of constraints. More...

int	NumEqualityConstraints `[get, set]`
	Number of equality constraints. More...

Properties inherited from IG.Neural.ApproximationFileServerNeural
virtual string	Directory `[get, protected set]`
	Gets or sets working directory of the current object. More...

NeuraApproximationFileManager	NeuralFileManager `[get, set]`

Properties inherited from IG.Num.IAnalysis
int	NumParameters `[get, set]`
	Number of parameters. More...

int	NumObjectives `[get, set]`
	Number of objective functions (normally 1 for this type, but can be 0). More...

int	NumConstraints `[get, set]`
	Number of constraints. More...

int	NumEqualityConstraints `[get, set]`
	Number of equality constraints. More...

Private Attributes
OptFileManager	_optFileManager

Detailed Description

Class containing direct analysis (in optimization) based on neural network optimization.

Constructor & Destructor Documentation

IG.Neural.AnalysisFileServerNeural.AnalysisFileServerNeural ( string workingDirectoryPath )

inline

Constructor, sets object's working directory to the specified path.

Parameters

workingDirectoryPath

Member Function Documentation

virtual void IG.Neural.AnalysisFileServerNeural.Analyse ( IAnalysisResults analysisData )

inlinevirtual

Performs analysis - calculates requested results and writes them to the provided data structure.

Parameters

analysisData Data structure where analysis request parameters are obtained and where analysis results are written.

Implements IG.Num.IAnalysis.

References IG.Num.IAnalysisResults.Parameters.

virtual void IG.Neural.AnalysisFileServerNeural.AnalysisToApproximationInput	(	IVector	anInput,
		ref IVector	approximationInput
	)

inlineprotectedvirtual

Converts analysis input parameters to approximation input parameters.

Parameters

anInput	Input parameters for direct analysis.
approximationInput	Input parameters for response approximation.

References IG.Num.VectorBase.Copy().

virtual void IG.Neural.AnalysisFileServerNeural.ApproximationToAnalysisOutput	(	IVector	approxOuptut,
		IAnalysisResults	anResults
	)

inlineprotectedvirtual

Converts approximation output to direct analysis results.
Sets objective function to sum of squares of approximated values.
WARNING:
This method should be overridden in derived classes.

Parameters

approxOuptut	Vector of approximated output values.
anResults	Direct analysis results.

References IG.Num.IAnalysisResults.CalculatedObjective, and IG.Num.IAnalysisResults.ReqObjective.

override void IG.Neural.AnalysisFileServerNeural.ClearMessages ( )

inlinevirtual

Clears all messages in the neural network approximator's file client/server directory.

Reimplemented from IG.Neural.ApproximationFileServerNeural.

virtual void IG.Neural.AnalysisFileServerNeural.ServerAnalyse ( )

inlinevirtual

Performs server-side direct analysis. Reads analysis input from standard location, calculates output and writes it to the standard location.

virtual void IG.Neural.AnalysisFileServerNeural.ClientCalculateAnalysisResults ( AnalysisResults anRes )

inlinevirtual

Calculates analysis results by using the analysis server.

Parameters

inputParameters	Intput parameters for which approximation is calculated.
outputValues	Vector where approximation output values are stored.

virtual void IG.Neural.AnalysisFileServerNeural.ClientTestCalculateAnalysisResults	(	string	inputFilePath,
		bool	reqObjective,
		bool	reqConstraints,
		bool	reqObjectiveGradient,
		bool	reqConstraintGradients,
		string	outputFilePath
	)

inlinevirtual

Performs client-side test calculation of analysis response.

Parameters

inputFilePath	Path to the JSON file where input parameters are read from. The file pointed at must exist.
reqObjective	Flag indicating whether objective function must be calculated.
reqConstraints	Flag indicating whether constraint functions must be calculated.
reqGradObjective	Flag indicating whether objective function gradientmust be calculated.
reqGradOConstraints	Fleg indicating whether constraint function gradients must be calculated.
deletedFilePath	Path of a file where the calculated analysis response in JSON is written to. It can be null or empty string, in this case response is not written to a file (but it is output on console).

Member Data Documentation

OptFileManager IG.Neural.AnalysisFileServerNeural._optFileManager

private

Property Documentation

OptFileManager IG.Neural.AnalysisFileServerNeural.OptimizationFileManager

getset

int IG.Neural.AnalysisFileServerNeural.NumParameters

getset

Number of parameters.

int IG.Neural.AnalysisFileServerNeural.NumObjectives

getset

Number of objective functions (normally 1 for this type, but can be 0).

int IG.Neural.AnalysisFileServerNeural.NumConstraints

getset

Number of constraints.

int IG.Neural.AnalysisFileServerNeural.NumEqualityConstraints

getset

Number of equality constraints.

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

extensions/iglibneural/neural/neural_server/NeuralAnalysisFileServer.cs

Public Member Functions

Protected Member Functions

Properties

Private Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

Property Documentation