2013
DOI: 10.1016/j.neunet.2013.04.001
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Global anti-synchronization of a class of chaotic memristive neural networks with time-varying delays

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Cited by 172 publications
(55 citation statements)
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“…The convergence rate is explicitly estimated. Moreover, the conditions utilized in this paper are easy to be verified and improve the conditions derived in Zeng (2012, 2013), Wu et al (2011, and Zhang et al (2012Zhang et al ( , 2013a. Numerical simulations are given to show the effectiveness of the theoretical results.…”
Section: Introductionmentioning
confidence: 84%
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“…The convergence rate is explicitly estimated. Moreover, the conditions utilized in this paper are easy to be verified and improve the conditions derived in Zeng (2012, 2013), Wu et al (2011, and Zhang et al (2012Zhang et al ( , 2013a. Numerical simulations are given to show the effectiveness of the theoretical results.…”
Section: Introductionmentioning
confidence: 84%
“…Referring to the relevant models in Zeng (2012, 2013), Wu et al (2011, and Zhang et al (2012Zhang et al ( , 2013a for memristor-based recurrent neural networks, in this paper, we consider a memristor-based CohenGrossberg neural network model with mixed delays which is described as follows:…”
Section: Model Description and Some Preliminariesmentioning
confidence: 99%
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