文献类型：期刊文献

英文题名：Anti-periodic solutions for BAM neural networks with time delays

作者：Wei, Xuerui[1,2];Qiu, Zhipeng[1]

机构：[1]Nanjing Univ Sci & Technol, Dept Appl Math, Nanjing 210094, Jiangsu, Peoples R China;[2]Shaoxing Univ, Dept Math, Hangzhou 312000, Zhejiang, Peoples R China

年份：2013

卷号：221

起止页码：221

外文期刊名：APPLIED MATHEMATICS AND COMPUTATION

收录：SCI-EXPANDED(收录号：WOS:000324579400022)、、EI(收录号：20133116563809)、Scopus(收录号：2-s2.0-84880721924)、WOS

基金：The authors thank the referees very much for their careful comments and valuable suggestions which greatly improved the presentation of the paper. This research of Qiu is supported by the NSFC Grant (No. 11271190). The research of Wei is supported by Natural Science Foundation of Zhejiang Province (Grant No. LQ12F02007).

语种：英文

外文关键词：Anti-periodic solution; BAM neural networks; Fundamental solution matrix; Exponential stability; Time delay

外文摘要：In the paper, bidirectional associative memory neural networks with time delays are studied. By using the fundamental solution matrix of coefficients and Lyapunow function, sufficient conditions are obtained for the existence and global exponential stability of the anti-periodic solution of the model. An example and numerical simulations are also given to illustrate the theoretical results. (C) 2013 Elsevier Inc. All rights reserved.