Volume 7 Number 4 (Apri. 2012)
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JCP 2012 Vol.7(4): 929-933 ISSN: 1796-203X
doi: 10.4304/jcp.7.4.929-933

Dynamical analysis of fuzzy cellular neural networks with time-varying delays

Qianhong Zhang1, Lihui Yang2, Daixi Liao3
1Guizhou Key Laboratory of Economics System Simulation, Guizhou College of Finance and Economics, Guiyang, Guizhou 550004, P.R.China
2Department of Mathematics, Hunan City University, Yiyang, Hunan 413000, P. R. China
3Basic Science Department, Hunan Institute of Technology, Hengyang, Hunan 421002, P. R. China


Abstract—In this paper, employing continuation theorem of the coincidence degree, and inequality technique, some sufficient conditions are derived to ensure global exponential stability and the existence of periodic solution for fuzzy cellular neural networks with time-varying delays. These results have important leading significance in the design and applications of globally stable neural networks. Moreover an example is given to illustrate the effectiveness and feasibility of results obtained.

Index Terms—Fuzzy cellular neural networks, periodic solution, global exponential stability, time-varying delays.

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Cite: Qianhong Zhang, Lihui Yang, Daixi Liao, "Dynamical analysis of fuzzy cellular neural networks with time-varying delays," Journal of Computers vol. 7, no. 4, pp. 929-933, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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