一类离散时滞神经网模型解的收敛性和周期性(英文)  

Convergence and Periodicity of Solutions for a Discrete-Time Neural Networks Model

作　　者：朱惠延[1] 黄立宏[2] 

机构地区：[1]南华大学数理学院,湖南衡阳421001 [2]湖南大学数学与计量经济学院,胡南长沙410082

出　　处：《生物数学学报》2006年第2期177-183,共7页Journal of Biomathematics

基　　金：Research supported by National Natural Science Foundation of China (10071016)the Doctor Program Foundation of the Ministry of Education of China (20010532002)Foundation for University Excellent Teacher by the Ministry of Education

摘　　要：考虑了一类具分段常数非线性时滞差分系统,得到了系统解的收敛性和周期性结果．In this paper, we consider a class of delay difference systems with piecewise constant nonlinearity. Some interesting results are obtained for the convergence and periodicity of solutions of the systems.

关 键 词：差分系统 时滞 收敛性 周期性 

分 类 号：O175.13[理学—数学]