Periodic Solution for Neutral-Type Neural Networks in Critical Case

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• 作者：Bo Du ; Shiping Lu ; Yurong Liu
• 关键词：Neural networks ; Neutral ; type ; Periodic solution ; Critical case
• 刊名：Neural Processing Letters
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：44
• 期：3
• 页码：765-777
• 全文大小：473 KB
• 刊物类别：Physics and Astronomy
• 刊物主题：Physics
  Complexity
  Artificial Intelligence and Robotics
  Electronic and Computer Engineering
  Operation Research and Decision Theory
  
• 出版者：Springer Netherlands
• ISSN：1573-773X
• 卷排序：44

文摘

A generalized neutral-type neural networks in critical case is studied. Some existence and asymptotic behavior results of periodic solution to the neutral-type neural networks in critical case are obtained by continuation theorem of coincidence degree theory and some analysis techniques. Finally, an example is given to show the effectiveness of the results in this paper.