Mean Square Exponential Stability of Neutral Stochastic Delay Neural Networks

被引：0
|
作者：
Yu, Han [1 ,2 ]
Zhu, Song [1 ,2 ]
机构：
[1] China Univ Min & Technol, Sch Math, Xuzhou 221116, Peoples R China
[2] Jiangsu Ctr Appl Math CUMT, Xuzhou 221116, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS-ISNN 2024 | 2024年 / 14827卷
基金：
中国国家自然科学基金;
关键词：
Mean square exponential stability; Neutral stochastic delay neural network; Time-varying delay; SYSTEMS; CRITERIA;
D O I：
10.1007/978-981-97-4399-5_33
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the mean square exponential stability of neutral stochastic delay neural networks through the utilization of a novel methodology. New explicit equations are derived to analyze the mean square exponential stability of the system. Furthermore, the effectiveness of the proposed approach is demonstrated through the illustrative example.
引用
收藏
页码：352 / 360
页数：9
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