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...
| Publicat a: | IEEE Transactions on fuzzy systems 9, 1 (2001). |
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| Autor principal: | |
| Format: | Article |
| Idioma: | English |
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