首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一类时滞神经网络系统的概周期解
引用本文:陈凯,黎丽.一类时滞神经网络系统的概周期解[J].玉林师范学院学报,2011,32(2):29-30,83.
作者姓名:陈凯  黎丽
作者单位:桂林航天工业高等专科学校,广西桂林,541004
摘    要:本文利用Banach空间中不动点原理和Lyapunov理论,研究一类变时滞神经网络系统概周期解的存在性和全局渐近稳定性,推广和改进了已有文献的结论.

关 键 词:时滞  概周期解  存在唯一  全局渐近稳定

Almost Periodic Solutions for a Kind of Neural Network Systems with Delays
CHEN Kai,LI Li.Almost Periodic Solutions for a Kind of Neural Network Systems with Delays[J].Journal of Yulin Teachers College,2011,32(2):29-30,83.
Authors:CHEN Kai  LI Li
Institution:CHEN Kai,LI Li(Guilin College of Aerospace Technology,Guilin,Guangxi 541004)
Abstract:Based on fixed points principle and the Lyapunov theory,a kind of neural network systems with delays is discussed.Some new criteria ensuring existence and uniqueness of an almost periodic solution and global asymptotical stability are presented.Some obtained results are extended and improved.
Keywords:delay  almost periodic solution  existence and uniqueness  global asymptotical stability  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号