Dynamic behaviors for reaction-diffusion neural networks with mixed delays

被引：6
|
作者：
Xu, Mei [1 ]
Du, Bo [1 ]
机构：
[1] Huaiyin Normal Univ, Sch Math & Stat, Huaian 223300, Jiangsu, Peoples R China
来源：
AIMS MATHEMATICS | 2020年 / 5卷 / 06期
关键词：
reaction-diffusion; neural networks; mixed delays; EXPONENTIAL STABILITY; SYNCHRONIZATION; ARRAY;
D O I：
10.3934/math.2020439
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A class of reaction-diffusion neural networks with mixed delays is studied. We will discuss some important properties of the periodic mild solutions including existence and globally exponential stability by using exponential dissipation property of semigroup of operators and some analysis techniques. Finally, an example for the above neural networks is given to show the effectiveness of the results in this paper.
引用
收藏
页码：6841 / 6855
页数：15
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