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  • 标题:Global exponential stability of delayed inertial competitive neural networks
  • 本地全文:下载
  • 作者:Min Shi ; Juan Guo ; Xianwen Fang
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2020
  • 卷号:2020
  • 期号:1
  • 页码:1-12
  • DOI:10.1186/s13662-019-2476-7
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In this paper, the exponential stability for a class of delayed competitive neural networks is studied. By applying the inequality technique and non-reduced-order approach, some novel and useful criteria of global exponential stability for the addressed network model are established. Moreover, a numerical example is presented to show the feasibility and effectiveness of the theoretical results.
  • 关键词:Inertial competitive neural network ; Exponential stability ; Non-reduced-order approach ;
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