Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks.

Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks.

An input variable selection procedure is introduced for the identification and construction of multi-input multi-output (MIMO) neurofuzzy operating point dependent models. The algorithm is an extension of a forward modified Gram-Schmidt orthogonal least squares procedure for a linear model structure...

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Bibliografske podrobnosti
izdano v:IEEE Transactions on fuzzy systems 9, 1 (2001).
Glavni avtor: Xia Hong
Format: Article
Jezik:English
Teme:
MIMO operating point dependent neurofuzzy networks.
Forward modified Gram-Schmidt orthogonal least squares.
Nonlinear system modeling.
Piecewise locally linear model fitting.
Variable selection algorithm.