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  • 标题:Biperiodicity in neutral-type delayed difference neural networks
  • 本地全文:下载
  • 作者:Zhenkun Huang ; Youssef N Raffoul
  • 期刊名称:Advances in Difference Equations
  • 印刷版ISSN:1687-1839
  • 电子版ISSN:1687-1847
  • 出版年度:2012
  • 卷号:2012
  • 期号:1
  • 页码:5
  • DOI:10.1186/1687-1847-2012-5
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:In this article we employ Krasnoselskii's fixed point theorem to obtain new biperiodicity criteria for neutral-type difference neural networks with delays. It is shown that the neutral-type term can leads to biperiodicity results. That is coexistence of a positive periodic sequence solution and its anti-sign periodic sequence solution. We illustrate our novel approach the biperiodicity dynamics of biperiodicity for neutral-type delay difference neural networks by two computer numerical examples. Mathematics Subject Classification 2010: 39A23; 39A10.
  • 关键词:difference neural networks ; biperiodicity ; neutral-type ; delayed
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