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  • 标题:Existence and stability results for multi-time scale stochastic fractional neural networks
  • 本地全文:下载
  • 作者:Dehua Wang ; Xiao-Li Ding ; Bashir Ahmad
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2019
  • 卷号:2019
  • 期号:1
  • 页码:1-12
  • DOI:10.1186/s13662-019-2368-x
  • 出版社:Hindawi Publishing Corporation
  • 摘要:We apply the tools of functional analysis to investigate the existence and uniqueness of solutions for multi-scale stochastic fractional neutral networks. By constructing a descent Lyapunov functional, the asymptotic stability of the solution of the given problem is also studied. Finally, we present two examples to illustrate the effectiveness of the theory.
  • 关键词:Multi-time scale stochastic fractional neutral networks;Existence and uniqueness of solutions;Asymptotic stability
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