首页 | 本学科首页   官方微博 | 高级检索  
     

STABILITY OF BIDIRECTIONAL ASSOCIATIVE MEMORY NEURAL NETWORKS WITH DELAYS
摘    要:In this paper the globally asymptotic stability of more general two-layer nonlinear feedback associative memory neural networks with time delays is examined. The sufficient conditions of existence, uniqueness and globally asymptotic stability of the equilibrum position are given. Finally, two interesting examples to illustrate the theory are given.


Stability of bidirectional associative memory neural networks with delays
Xiaoxin Liao,Yang Liao,Yu Liao. Stability of bidirectional associative memory neural networks with delays[J]. Journal of Electronics, 1998, 15(4): 372-377. DOI: 10.1007/s11767-998-0012-0
Authors:Xiaoxin Liao  Yang Liao  Yu Liao
Affiliation:(1) Dept. of Auto. Control., Huazhong Univ. of Science & Technology, 430074 Wuhan;(2) Dept. of Computer Science, Nanjing University, 210093 Nanjing;(3) Wuhan Soundy Science & Commerce Company, 430070 Wuhan
Abstract:In this paper the globally asymptotic stability of more general two-layer nonlinear feedback associative memory neural networks with time delays is examined. The sufficient conditions of existence, uniqueness and globally asymptotic stability of the equilibrum position are given. Finally, two interesting examples to illustrate the theory are given.
Keywords:Neural networks  Associative memories  Stability
本文献已被 SpringerLink 等数据库收录!
点击此处可从《电子科学学刊(英文版)》浏览原始摘要信息
点击此处可从《电子科学学刊(英文版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号