Global attractive periodic solutions of neutral-type neural networks with delays in the leakage terms

被引：0
|
作者：
Zhu, Shihong [1 ]
Du, Bo [2 ]
机构：
[1] Tongling Univ, Coll Math & Comp, Tongling 244061, Anhui, Peoples R China
[2] Huaiyin Normal Univ, Sch Math & Stat, Huaian 223300, Jiangsu, Peoples R China
来源：
AIMS MATHEMATICS | 2023年 / 8卷 / 11期
关键词：
periodic solution; neural networks; neutral-type; leakage terms; STABILITY ANALYSIS; DISCRETE;
D O I：
10.3934/math.20231368
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we introduce a class of neutral-type neural networks with delay in the leakage terms. Using coincidence degree theory, Lyapunov functional method and the properties of neutral operator, we establish some new sufficient criteria for the existence and global attractiveness of periodic solutions. Finally, an example demonstrates our findings.
引用
收藏
页码：26731 / 26744
页数：14
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