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...

Täydet tiedot

Bibliografiset tiedot

Julkaisussa:	IEEE Transactions on fuzzy systems 9, 1 (2001).
Päätekijä:	Xia Hong
Aineistotyyppi:	Artikkeli
Kieli:	englanti
Aiheet:	MIMO operating point dependent neurofuzzy networks. Forward modified Gram-Schmidt orthogonal least squares. Nonlinear system modeling. Piecewise locally linear model fitting. Variable selection algorithm.