Stability analysis on Cohen–Grossberg neural networks with both time-varying and continuously distributed delays-Reference-Cited by-同舟云学术

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Stability analysis on Cohen–Grossberg neural networks with both time-varying and continuously distributed delays

Published:2009-08 Issue:4 Volume:10 Page:2600-2612
ISSN:1468-1218
Container-title:Nonlinear Analysis: Real World Applications
language:en
Short-container-title:Nonlinear Analysis: Real World Applications

Author:

Li Tao,Fei Shu-min,Guo Ying-qing,Zhu Qing

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics,General Economics, Econometrics and Finance,General Engineering,General Medicine,Analysis

Reference30 articles.

1. Absolute stability of global pattern formation and parallel memory storage by competitive neural networks;Cohen;IEEE Transactions on Systems, Man and Cybernetics,1983

2. Qualitative analysis of Cohen–Grossberg neural networks with multiple delays;Ye;Physical Review E,1995

3. Delay-dependent exponential stability of delayded neural networks with time-varying delay;He;IEEE Transactions on Circuits and Systems,2006

4. Novel global stability criteria for interval neural networks with multiple time-varying delays;Xu;Physics Letters A,2005

5. Delay-dependent exponential stability of neural networks with variable delay: An LMI approach;Chen;IEEE Transactions on Circuits and Systems-II: Express Briefs,2006

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3. Stochastic finite-time stability of reaction-diffusion Cohen–Grossberg neural networks with time-varying delays;Chinese Journal of Physics;2019-02

4. Impulsive Cohen–Grossberg BAM neural networks with mixed time-delays: An exponential stability analysis issue;Neurocomputing;2018-01

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