Dynamic analysis of stochastic bidirectional associative memory neural networks with delays

Hongyong Zhao and Nan Ding

Chaos, Solitons & Fractals, 2007, vol. 32, issue 5, 1692-1702

Abstract: In this paper, stochastic bidirectional associative memory neural networks model with delays is considered. By constructing Lyapunov functionals, and using stochastic analysis method and inequality technique, we give some sufficient criteria ensuring almost sure exponential stability, pth exponential stability and mean value exponential stability. The obtained criteria can be used as theoretic guidance to stabilize neural networks in practical applications when stochastic noise is taken into consideration.

Date: 2007
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:32:y:2007:i:5:p:1692-1702

DOI: 10.1016/j.chaos.2005.12.010

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