Dynamic analysis of stochastic delayed cellular neural networks

Dynamic analysis of stochastic delayed cellular neural networks

The stability of stochastic delayed cellular neural networks （DCNNs） is investigated in this paper. Under the help of Lyapunov functional and the semimartingale convergence theorem, some sufficient criteria were obtained to check the almost sure exponential stability of the DCNNs,

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Veröffentlicht in:Journal of Harbin Institute of Technology 2006, Vol.13 (6), p.658-661
1. Verfasser: 朱恩文 王勇 邹捷中
Format: Artikel
Sprache:eng
Schlagworte:
收敛性
神经网络
随机微分方程
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Zusammenfassung:The stability of stochastic delayed cellular neural networks （DCNNs） is investigated in this paper. Under the help of Lyapunov functional and the semimartingale convergence theorem, some sufficient criteria were obtained to check the almost sure exponential stability of the DCNNs,
ISSN:1005-9113