FUZZY CELLULAR NEURAL-NETWORK - A NEW PARADIGM FOR IMAGE-PROCESSING

Authors
YANG T YANG LB
Citation
T. Yang et Lb. Yang, FUZZY CELLULAR NEURAL-NETWORK - A NEW PARADIGM FOR IMAGE-PROCESSING, International journal of circuit theory and applications, 25(6), 1997, pp. 469-481
Citations number
20
Journal title
International journal of circuit theory and applications → ACNP
ISSN journal
00989886
Volume
25
Issue
6
Year of publication
1997
Pages
469 - 481
Database
ISI
SICI code
0098-9886(1997)25:6<469:FCN-AN>2.0.ZU;2-7
Abstract
A non-linear network structure called the fuzzy cellular neural networ k (FCNN) is presented. It is a reasonable extension of the cellular ne ural network (CNN) from classical to fuzzy sets. In this paper, struct ures of type II FCNNs are presented. A type II FCNN has fuzzy signals and crisp synaptic weights. Some theorems on the dynamical range and e quilibrium points of type II FCNNs are presented. Applications of type II FCNNs to min-max medical axis transformation, noise removal and ed ge detection under a low-SNR condition are presented. Computer simulat ion results are given. (C) 1997 by John Wiley & Sons, Ltd.