SmBackPropagation

Assembly: Stat;

Namespace: Prognoz.Platform.Interop.Stat;

Description

The SmBackPropagation class performs data mining using the Backpropagation network method.

Comments

This method uses neural backpropagation network to substitute missing data. This network uses a learning algorithm where the error propagates through the network from the output layer to the input one: that is, in the direction opposite to the direction of signal propagation when the network functions normally. This method uses numerical values.

Fore.NET Syntax

Class used to get an analogue of the class SmBackPropagation:

None.

The class used to get an analogue for the object of the class SmBackPropagation:

SmBackPropagationClass;

Class object properties inherited from ISmBackPropagation

	Property name	Brief description
	CategoriesList	The CategoriesList property returns a list of categories.
	Classification	Outdated. Use IDataMining.FilledDependent.
	ClassificationSummary	The ClassificationSummary property returns summary results of classification.
	DeltasMinimum	The DeltasMinimum property determines a minimum value of the accuracy parameter delta.
	Epoch	The Epoch property determines the maximum number of iterations.
	Explanatories	The Explanatories property returns a collection of classification factors..
	Neurons	The Neurons property determines the number of neurons in the internal layer.
	TrainingExamples	Outdated. Use IDataMining.Dependent.

Class object properties inherited from IDataMining

	Property name	Brief description
	Dependent	The Dependent property returns explained series.
	Explained	Outdated. Use IDataMining.Dependent.
	Explanatories	The Explanatories property returns a collection of classification attributes.
	FilledDependent	The FilledDependent property returns a series with calculation results.

Class object properties inherited from IStatMethodValid

	Property name	Brief description
	CrossValidation	The CrossValidation property returns cross-validation settings.
	PerformanceScores	The PerformanceScores property returns cross-validation results.

Class object properties inherited from IStatMethod

	Property name	Brief description
	DisplayName	The DisplayName property returns the displayed method name.
	ErrorByStatus	The ErrorByStatus property returns an error message by the error number.
	Errors	The Errors property returns a message with all the errors and warnings.
	Name	The Name property returns the internal method name.
	PerformanceTime	The PerformanceTime property returns method execution time.
	Status	The Status property returns the method execution status.
	SupportsR	The SupportsR property returns whether statistical method can be calculated via R package.
	UseR	The UseR property determines whether statistical method is calculated via the R package.
	WarningByStatus	The WarningByStatus property returns a warning text by its number.
	Warnings	The Warnings property returns the warnings that occurred at method calculation.
	WarningsCount	The WarningsCount property returns the number of warnings that occurred at the method calculation.
	WarningsNumbers	The WarningsNumbers property returns numbers of warnings that occurred at the method calculation.

Class object methods inherited from IStatMethodValid

	Method name	Brief description
	ExecuteValidation	The ExecuteValidation method executes cross-validation.

Methods of class object inherited from IStatMethod

	Method Name	Brief description
	Clone	The Clone method clones a statistical method object.
	Execute	The Execute method executes a statistical method.
	LoadFromXML	The LoadFromXML method loads statistical method settings from XML code.
	SaveToXML	The SaveToXML method unloads statistical method settings to XML code.

See also:

Stat Assembly Classes