An input-output clustering approach to the synthesis of ANFIS networks.

A useful neural network paradigm for the solution of function approximation problems is represented by adaptive neuro-fuzzy inference systems (ANFIS). Data driven procedures for the synthesis of ANFIS networks are typically based on clustering a training set of numerical samples of the unknown funct...

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Opis bibliograficzny

Wydane w:	IEEE Transactions on fuzzy systems 13, 1 (2005).
1. autor:	Panella, M.
Format:	Artykuł
Język:	English
Hasła przedmiotowe:	Adaptive neuro fuzzy inference system synthesis. Data space. Function approximation problem. Fuzzy min-max classification. Input output clustering.