Fuzzy nonlinear regression with fuzzified radial basis function network.

Fuzzy nonlinear regression with fuzzified radial basis function network.

A fuzzified radial basis function network (FRBFN) is a kind of fuzzy neural network that is obtained by direct fuzzification of the well known neural model RBFN. A FRBFN contains fuzzy weights and can handle fuzzy-in fuzzy-out data. This paper shows that a FRBFN can also be interpreted as a kind of...

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Detalles Bibliográficos
Publicado en:IEEE Transactions on fuzzy systems 13, 6 (2005).
Autor principal: Dong Zhang
Formato: Artículo
Lenguaje:English
Materias:
Fuzzified radial basis function network.
Fuzzy expert system.
Fuzzy neural network.
Fuzzy nonlinear regression problems.
Nonlinear mathematical programming problem.
Universal function approximators.