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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Bibliographic Details
Published in:	IEEE transactions on fuzzy systems Vol. 13; no. 6; pp. 742 - 760
Main Authors:	Dong Zhang, Luo-Feng Deng, Kai-Yuan Cai, So, A.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2005 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Fuzzified radial basis function network (FRBFN) Fuzzy logic fuzzy neural network Fuzzy neural networks fuzzy number fuzzy regression Fuzzy sets Hybrid intelligent systems Mathematical programming Measurement errors Multidimensional systems Neural networks Radial basis function networks Regression analysis Statistical analysis Studies universal approximation
ISSN:	1063-6706, 1941-0034
Online Access:	Get full text
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