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Volume 9, Number 2, April 2024 , pages 097-113 DOI: https://doi.org/10.12989/acd.2024.9.2.097 |
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Stability of stochastic neutral neural networks with delays |
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Xiaoqi Sun and Ling Zhang
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| Abstract | ||
| In this paper, we proposed a new class of stochastic neutral neural networks with uncertain and deterministic coefficients. Made the Sigmund activation and Lipschitz activation functions less conditional. The Lyapnov-Krasovskii functional is constructed. The linear matrix inequality (LMI) is constructed using Schur's lemma, and new criteria for the global asymptotic stability and global asymptotic robust stability of neural networks are obtained. Furthermore, we have verified that the method is effective and feasible through numerical examples. | ||
| Key Words | ||
| delay; deterministic and uncertain coefficients; neutral neural networks; robust stability; stochastic | ||
| Address | ||
| Xiaoqi Sun and Ling Zhang: School of Mathematics and Statistics, Qingdao University, Qingdao 266071, China | ||
