IDmBackPropagation

Assembly: Ms;

Description

The IDmBackPropagation interface is used for missing data substitution using the back-propagation network.

Inheritance Hierarchy

IDmMethodDetails

IDmAttributesDetails

IDmTargetDetails

IDmTemplateFillDetails

IDmBackPropagation

Comments

The method uses neural back-propagation network to substitute missing data. This network uses a learning algorithm where the error propagates 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. The method works on the numeric values.

Properties inherited from IDmTargetDetails

	Property name	Brief description
	Target	The Target property determines index of the data source field containing analyzed information.

Properties inherited from IDmAttributesDetails

	Property name	Brief description
	Attributes	The Attributes property determines indexes of fields of the data source containing analysis factors.

Properties inherited from IDmMethodDetails

	Property name	Brief description
	CrossValidation	The CrossValidation property returns cross-validation settings.
	DisplayName	The DisplayName property returns method name.
	InputDataSource	The InputDataSource property determines a input data source.
	StatMethod	The StatMethod property returns parameters of a statistical method used in analysis.

Methods inherited from IDmTemplateFillDetails

	Method name	Brief description
	FillTarget	The FillTarget method loads results of missing data substitution to data source.