$${\varvec{p}}$$ p th Moment Exponential Stability of Hybrid Delayed Reaction–Diffusion Cohen–Grossberg Neural Networks-Reference-Cited by-同舟云学术

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$${\varvec{p}}$$ p th Moment Exponential Stability of Hybrid Delayed Reaction–Diffusion Cohen–Grossberg Neural Networks

Published:2016-12-02 Issue:1 Volume:46 Page:83-111
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Zhang Weiyuan,Li Junmin,Ding Chenyang,Xing Keyi

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation Funded Project

Natural Science Foundation of Shannxi Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/article/10.1007/s11063-016-9572-4/fulltext.html

Reference53 articles.

1. Cohen M, Grossberg S (1983) Absolute stability and global pattern formation and parallel memory storage by competitive neural networks. IEEE Trans Syst Man Cybern 13:815–826

2. Cao J, Wang J (2005) Global exponential stability and periodicity of recurrent neural networks with time delays. IEEE Trans Circuit Syst I 52:920–931

3. Shi Y, Zhu P (2014) Asymptotic stability analysis of stochastic reaction-diffusion Cohen–Grossberg neural networks with mixed time delays. Appl Math Comput 242(1):159–167

4. Zhao H, Yuan J, Zhang X (2015) Stability and bifurcation analysis of reaction-diffusion neural networks with delays. Neurocomputing 147(5):280–290

5. Arik S, Orman Z (2005) Global stability analysis of Cohen–Grossberg neural networks with time-varying delays. Phys Lett A 341:410–421

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