Cellular neuro-fuzzy networks (CNFNs), a new class of cellular networks

Author

Colodro, F. ; Torralba, A.

Author_Institution

Dipartimento de Ingenieria Electron., Escuela Superior de Ingenieros, Seville, Spain

Volume

1

fYear

1996

fDate

8-11 Sep 1996

Firstpage

517

Abstract

A new architecture based on the cellular neural network (CNN) paradigm is proposed. If the linear combinator and the piecewise-linear function of a CNN is replaced by a fuzzy-logic unit, a new cellular network is obtained with improved capabilities. This network is called a cellular neuro-fuzzy network (CNFN). CNFNs inherit all the excellent properties of the CNNs, with the advantage of a greater flexibility at the expense of a higher complexity. Nevertheless, the CNFN can be efficiently built by means of modern analog integrated circuit technology

Keywords

cellular neural nets; edge detection; fuzzy neural nets; neural net architecture; architecture; cellular neural network; cellular neuro-fuzzy networks; edge detection; fuzzy-logic unit; Analog integrated circuits; Cellular networks; Cellular neural networks; Electronic mail; Equations; Fuzzy neural networks; Integrated circuit technology; Land mobile radio cellular systems; Piecewise linear techniques; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.551794

Filename

551794