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Stability of stochastic neutral neural networks with delays

  • Xiaoqi Sun (School of Mathematics and Statistics, Qingdao University) ;
  • Ling Zhang (School of Mathematics and Statistics, Qingdao University)
  • Received : 2024.01.08
  • Accepted : 2024.05.16
  • Published : 2024.04.25

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.

Keywords

References

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  87. Shariati, A., Mohammad-Sedighi, H., Zur, K.K., Habibi, M. and Safa, M. (2020c), "Stability and dynamics of viscoelastic moving rayleigh beams with an asymmetrical distribution of material parameters", Symmetry, 12(4), 586. https://doi.org/10.3390/sym12040586. 
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