journal6 ›› 2009, Vol. 30 ›› Issue (4): 23-29.

• 数学 • 上一篇    下一篇

一类具变和无界时滞的神经网络的反周期解

  

  1. (云南大学数学系,云南 昆明 650091)
  • 出版日期:2009-07-25 发布日期:2012-04-22

Anti-Periodic Solutions for a Class of Neural Networks with Variable and Unbounded Time Delays

  1. (Department of Mathematics,Yunnan University,Kunming 65009,China)
  • Online:2009-07-25 Published:2012-04-22
  • About author:SONG Jiang-yan(1983-),female,M. S.;research area is differential equations.LI Yong-kun(1961-),male,was born in Kunming City,Yunan Province,professor,Ph. D.;research areas are nonlinear dynamic systems,neural networks and applied mathematics.
  • Supported by:

    Natural Sciences Foundation of Yunnan Province (04Y239A)

摘要:研究一类具变和无界时滞的神经网络模型,获得了该类神经网络的反周期解存在性和指数稳定性的充分条件.

关键词: 神经网络, 时滞, 反周期解, 指数稳定性

Abstract: A class of neural networks with variable and unbounded time delays is considered.Sufficient conditions for the existence  and exponential stability of anti-periodic solutions are established,which are new and complement previously the known results.

Key words: neural networks, delays, anti-periodic solution, exponential stability

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