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  • 标题:Existence of Periodic Solutions for an Output Hidden Feedback Elman Neural Network
  • 本地全文:下载
  • 作者:Valéry Covachev ; Zlatinka Covacheva
  • 期刊名称:Journal of Software Engineering and Applications
  • 印刷版ISSN:1945-3116
  • 电子版ISSN:1945-3124
  • 出版年度:2020
  • 卷号:13
  • 期号:12
  • 页码:348-363
  • DOI:10.4236/jsea.2020.1312023
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:We first recall the sufficient conditions for the existence of a periodic output of a modified Elman neural network with a periodic input found by using Mawhin’s continuation theorem of coincidence degree theory. Using this result, we obtain sufficient conditions for the existence of a periodic output for an output hidden feedback Elman neural network with a periodic input. Examples illustrating these sufficient conditions are given.
  • 关键词:Elman Neural Network;Periodic Input and Output;Mawhin’s Continuation Theorem
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