An orthogonal least-squares method for recurrent fuzzy-neural modeling.

DOI10.1016/S0165-0114(02)00523-7zbMath1036.93037MaRDI QIDQ1414807

John B. Theocharis, Paris Ast. Mastorocostas

Publication date: 4 December 2003

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

zbMATH Keywords

Dynamic neuronsOrthogonal least-squaresRecurrent fuzzy neural networkTSK fuzzy rules

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42)

Related Items (3)

A fuzzy-neural multi-model for nonlinear systems identification and control ⋮ NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches ⋮ The orthogonality between complex fuzzy sets and its application to signal detection

Cites Work

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• Fuzzy identification of systems and its applications to modeling and control
• An experiment in linguistic synthesis with a fuzzy logic controller

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