An orthogonal least-squares method for r
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Paris A. Mastorocostas; John B. Theocharis
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Article
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2003
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Elsevier Science
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English
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This paper presents an orthogonal least-squares (OLS)-based modeling method, named dynamic OLS (D-OLS), for generating recurrent fuzzy models. A dynamic-neuron-based fuzzy neural network is proposed, comprising generalized Takagi-Sugeno-Kang (TSK) fuzzy rules, whose consequent parts consist of dynam