Almost periodic solution of neutral-type neural networks with time delay in the leakage term on time scales

被引：0

作者：

Hu, Meng ^{[1
]}

Wang, Lili ^{[1
]}

机构：

[1] Anyang Normal University, School of Mathematics and Statistics, Xian'gedadao Road 436, Anyang, China

来源：

WSEAS Transactions on Systems | 2014年 / 13卷 / 01期

关键词：

Neural networks - Fixed point arithmetic - Time measurement - Time delay - Calculations;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, based on the theory of calculus on time scales, by using the exponential dichotomy of linear dynamic equations and Banach's fixed point theorem as well as some mathematical methods, some sufficient conditions are obtained for the existence and exponential stability of almost periodic solution of neutral-type neural networks with time-varying delay in the leakage term on time scales. These results have important leading significance in designs and applications of such neural networks. Finally, an example is given to illustrate the feasibility and effectiveness of the results.

引用

页码：231 / 241