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变时滞神经网络周期解的存在和指数稳定性
引用本文:邢青红,闫卫平. 变时滞神经网络周期解的存在和指数稳定性[J]. 太原师范学院学报(自然科学版), 2012, 0(3): 16-18
作者姓名:邢青红  闫卫平
作者单位:太原工业学院理学系;山西大学数学科学院
摘    要:文章利用Brouwer不动点定理以及构造新的Lyapunov函数得到变时滞神经网络周期解的存在唯一性和指数稳定性的相应结果.

关 键 词:神经网络  周期解  指数稳定  变时滞

Existence and Exponential Stability of Periodic Solution for Delayed Neural Networks
Xing Qinghong,Yan Weiping. Existence and Exponential Stability of Periodic Solution for Delayed Neural Networks[J]. Journal of Taiyuan Normal University:Natural Science Edition, 2012, 0(3): 16-18
Authors:Xing Qinghong  Yan Weiping
Affiliation:1.Department of Science,Taiyuan Industrial College,Taiyuan 030008; 2.School of Mathematical Sciences,Shanxi University,Taiyuan 030006,China)
Abstract:To use Brouwer fixed point theorem and new Lyapunov function,we can obtain the result for the existence uniqueness of periodic solution and exponeatial stability of neural networks with time-varying delays.
Keywords:neural networks  periodic solution  exponential stability  time-varying delays
本文献已被 CNKI 维普 等数据库收录!
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