SmBackPropagation

Assembly: 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.

Class object properties inherited from ISmBackPropagation

  Property name Brief description
CategoriesList The CategoriesList property returns a list of categories.
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.
RelevanceMeasure The RelevanceMeasure property returns binary classification quality criteria.

Class object properties inherited from IDataMining

  Property name Brief description
Dependent The Dependent property returns the explained series.
Explanatories The Explanatories property returns the collection of classification factors.
FilledDependent The FilledDependent property returns the 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 on method calculation.
WarningsCount The WarningsCount property returns the number of warnings that occurred on method calculation.
WarningsNumbers The WarningsNumbers property returns numbers of the warnings that occurred on 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