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...

Полное описание

Библиографические подробности

Опубликовано в::	IEEE Transactions on fuzzy systems 13, 6 (2005).
Главный автор:	Dong Zhang
Формат:	Статья
Язык:	English
Предметы:	Fuzzified radial basis function network. Fuzzy expert system. Fuzzy neural network. Fuzzy nonlinear regression problems. Nonlinear mathematical programming problem. Universal function approximators.