Almost periodic solutions for neutral-type neural networks with the delays in the leakage term on time scales

被引：8

作者：

Wang, Pan ^{[1
]}

Li, Yongkun ^{[1
]}

Ye, Yuan ^{[2
]}

机构：

[1] Yunnan Univ, Dept Math, Kunming 650091, Yunnan, Peoples R China

[2] Yunnan Univ, Grad Sch, Kunming 650091, Yunnan, Peoples R China

来源：

MATHEMATICAL METHODS IN THE APPLIED SCIENCES | 2016年 / 39卷 / 15期

关键词：

almost periodic solution; global exponential stability; neural networks; time scales; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; EXISTENCE;

D O I：

10.1002/mma.3857

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper, a class of neutral-type neural networks with delays in the leakage term on time scales are considered. By using the Banach fixed point theorem and the theory of calculus on time scales, some sufficient conditions are obtained for the existence and exponential stability of almost periodic solutions for this class of neural networks. The results of this paper are new and complementary to the previously known results. Finally, an example is presented to illustrate the effectiveness of our results. Copyright (C) 2016 John Wiley & Sons, Ltd.

引用

页码：4297 / 4310

页数：14

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