一类变时滞模糊神经网络系统解的渐近概周期性（英文）  

Asymptotical almost periodicity of solutions of a class of fuzzy cellular neural networks with varying time-delays

作　　者：罗扬 李洪旭[1] LUO Yang;LI Hong-Xu(School of Mathematics, Sichuan University, Chengdu 610064, China)

机构地区：[1]四川大学数学学院

出　　处：《四川大学学报（自然科学版）》2020年第2期218-224,共7页Journal of Sichuan University(Natural Science Edition)

基　　金：国家自然科学基金(11971329,11561077)

摘　　要：本文给出了一类变时滞模糊神经网络系统解的概周期性和全局指数稳定性结果及该系统渐近概周期解的具体形式.In this paper,we give some results on both asymptotical almost periodicity and global exponential stability of the solutions of a class of fuzzy cellular neural networks with time-varying delays.The concrete forms of the asymptotical almost solutions of this system are presented.

关 键 词：模糊神经网络 渐近概周期 全局指数稳定 变时滞 

分 类 号：O175.12[理学—数学]