Existence and Global Exponential Stability of Almost Periodic Solution for High-Order BAM Neural Networks with Delays on Time Scales

被引：16
|
作者：
Li, Yongkun [1 ]
Wang, Chao [1 ]
Li, Xia [1 ]
机构：
[1] Yunnan Univ, Dept Math, Kunming 650091, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2014年 / 39卷 / 03期
关键词：
Almost periodic solution; High-order BAM neutral networks; Time scales; Global exponential stability; IMPULSES;
D O I：
10.1007/s11063-013-9302-0
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, by using a fixed point theorem and by constructing a suitable Lyapunov functional, we study the existence and global exponential stability of almost periodic solution for high-order bidirectional associative memory neural networks with delays on time scales. An examples shows the feasibility of our main results.
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页码：247 / 268
页数：22
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