Global dissipativity for stochastic quaternion-valued neural networks with proportional delay

被引：0
|
作者：
Xu, Shengjie [1 ]
Ding, Nan [2 ]
机构：
[1] GuangDong Polytech Sci & Technol, Sch Tourism, Zhuhai 519090, Guangdong, Peoples R China
[2] GuangDong Polytech Sci & Technol, Comp Engn Tech Coll, Zhuhai 519090, Guangdong, Peoples R China
来源：
PROCEEDINGS OF 2023 7TH INTERNATIONAL CONFERENCE ON ELECTRONIC INFORMATION TECHNOLOGY AND COMPUTER ENGINEERING, EITCE 2023 | 2023年
关键词：
Global dissipativity; Stochastic quaternion-valued neural networks; Proportional delay;
D O I：
10.1145/3650400.3650590
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the paper, the global dissipativity of stochastic quaternion-valued neural networks (SQVNNs) with proportional delay are investigated. Firstly, a novel lemma is established according to Ito's formula and stochastic analysis techniques. Secondly, by employing Lyapunov functional, inequality techniques and stochastic analysis theory, new sufficient contions to ensure the global dissipativity for SQVNNs with proportional delay are derived. Finally, two numerical examples are provided to illustrate the feasibility, effectiveness of our methods.
引用
收藏
页码：1125 / 1129
页数：5
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