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.

引用

页码：247 / 268

页数：22

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