[1]杨 仪,陈小龙,周杰琳.一类具有离散时滞和分布时滞的四元数神经网络同步性研究[J].南京师范大学学报(自然科学版),2020,43(03):1-6.[doi:10.3969/j.issn.1001-4616.2020.03.001]
　Yang Yi,Chen Xiaolong,Zhou Jielin.Global Synchronization of Quaternion-valued Neural Networkswith Discrete and Distributed Delays[J].Journal of Nanjing Normal University(Natural Science Edition),2020,43(03):1-6.[doi:10.3969/j.issn.1001-4616.2020.03.001]
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一类具有离散时滞和分布时滞的四元数神经网络同步性研究()
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《南京师范大学学报》（自然科学版）[ISSN:1001-4616/CN:32-1239/N]

卷:
第43卷
期数:
2020年03期
页码:
1-6
栏目:
·数学·
出版日期:
2020-09-30

文章信息/Info

Title:
Global Synchronization of Quaternion-valued Neural Networkswith Discrete and Distributed Delays
文章编号:
1001-4616(2020)03-0001-06
作者:
杨 仪1; 2; 陈小龙3; 周杰琳3
(1.重庆三峡学院计算机科学与工程学院,重庆 404100)(2.重庆三峡学院智能信息处理与控制重庆市重点实验室,重庆 404100)(3.重庆交通大学数学与统计学院,重庆 400074)
Author(s):
Yang Yi1; 2; Chen Xiaolong3; Zhou Jielin3
(1.College of Computer Science and Engineering,Chongqing Three Gorges University,Chongqing 404100,China)(2.Key Laboratory of Intelligent Information Processing and Control of Chongqing,Chongqing Three Gorges University,Chongqing 404100,China)(3.College of Mathematics and Statistics,Chongqing Jiaotong University,Chongqing 400074,China)
关键词:
四元数神经网络; Lyapunov-Krasovskii函数; 全局同步性
Keywords:
quaternion neural networks; Lyapunov-Krasovskii function; global synchronization
分类号:
TP183
DOI:
10.3969/j.issn.1001-4616.2020.03.001
文献标志码:
A
摘要:
本文通过构造合适的Lyapunov-Krasovskii函数,利用自由权矩阵方法和四元数不等式技巧,讨论了一类具有离散和分布时滞的四元数神经网络的同步性问题,得出了保证四元数神经网络全局同步性的充分判据.
Abstract:
In this paper,by constructing suitable Lyapunov-Krasovskii function,using the free weight matrix method and quaternion inequality techniques,the synchronization problem of a class of quaternion neural networks with discrete and distributed delays is discussed,and a sufficient criterion to ensure the global synchronization of quaternion neural networks is obtained.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2020-04-26.
基金项目:重庆市教委科技研究项目(KJQN201901203).
通讯作者:杨仪,博士,研究方向:神经网络,非线性动力系统. E-mail:yang1595@126.com
更新日期/Last Update: 2020-09-15