Convergence behavior of delayed bidirectional associative memory cellular neural networks with asymptotically periodic coefficients - Details

author：

Xu, J. (Xu, J..) ^[1] | Chen, L. (Chen, L..) ^[2] | Li, Z. (Li, Z..) ^[3]

Indexed by：

Scopus

Abstract：

This　paper　considers　the　convergence　behavior　of　delayed　BAM　cellular　neural　networks　with　asymptotically　periodic　coefficients.　By　applying　mathematical　analysis　techniques,　some　new　sufficient　conditions　are　obtained　to　ensure　that　solutions　of　the　networks　converge　to　a　periodic　function.　©　2009　Elsevier　Inc.　All　rights　reserved.

Keyword：

Asymptotically periodic coefficients; CNNs; Convergence; Delays

Community：

[ 1 ] [Xu, J.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China
[ 2 ] [Chen, L.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China
[ 3 ] [Li, Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China

Reprint 's Address：

[Xu, J.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, Fujian 350002, China

Email：

xiaojun159@yahoo.com.cn

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Source ：

Applied Mathematics and Computation

ISSN： 0096-3003

Year： 2009

Issue： 3

Volume： 215

Page： 928-935

1 . 1 2 4

JCR@2009

3 . 5 0 0

JCR@2023

JCR Journal Grade：2

CAS Journal Grade：1

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SCOPUS Cited Count： 2

ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 0

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