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...

詳細記述

書誌詳細

出版年:	IEEE Transactions on fuzzy systems 9, 1 (2001).
第一著者:	Xia Hong
フォーマット:	論文
言語:	English
主題:	MIMO operating point dependent neurofuzzy networks. Forward modified Gram-Schmidt orthogonal least squares. Nonlinear system modeling. Piecewise locally linear model fitting. Variable selection algorithm.