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具有变时滞和脉冲效应的Hopfield神经网络的全局指数稳定性

杨志春 徐道义

杨志春, 徐道义. 具有变时滞和脉冲效应的Hopfield神经网络的全局指数稳定性[J]. 应用数学和力学, 2006, 27(11): 1329-1334.
引用本文: 杨志春, 徐道义. 具有变时滞和脉冲效应的Hopfield神经网络的全局指数稳定性[J]. 应用数学和力学, 2006, 27(11): 1329-1334.
YANG Zhi-chun, XU Dao-yi. Global Exponential Stability of Hopfield Neural Networks With Variable Delays and Impulsive Effects[J]. Applied Mathematics and Mechanics, 2006, 27(11): 1329-1334.
Citation: YANG Zhi-chun, XU Dao-yi. Global Exponential Stability of Hopfield Neural Networks With Variable Delays and Impulsive Effects[J]. Applied Mathematics and Mechanics, 2006, 27(11): 1329-1334.

具有变时滞和脉冲效应的Hopfield神经网络的全局指数稳定性

基金项目: 国家自然科学基金资助项目(10371083)
详细信息
    作者简介:

    杨志春(1971- ),男,重庆人,副教授,博士(联系人.E-mail:zhichy@yahoo.com.cn);徐道义(1948- ),男,四川人,教授,博士生导师.

  • 中图分类号: O175;TP711

Global Exponential Stability of Hopfield Neural Networks With Variable Delays and Impulsive Effects

  • 摘要: 讨论了一类具有变时滞和脉冲效应的Hopfield神经网络模型.利用按段连续的向量Liapunov思想方法,研究了脉冲时滞神经网络的全局指数稳定性.例子及其数值仿真说明了结果的有效性.推广和改进了已有文献的一些结果.
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出版历程
  • 收稿日期:  2004-10-30
  • 修回日期:  2006-07-26
  • 刊出日期:  2006-11-15

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