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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Publicado en:	IEEE Transactions on fuzzy systems 9, 1 (2001).
Autor principal:	Xia Hong
Formato:	Artículo
Lenguaje:	English
Materias:	MIMO operating point dependent neurofuzzy networks. Forward modified Gram-Schmidt orthogonal least squares. Nonlinear system modeling. Piecewise locally linear model fitting. Variable selection algorithm.