文献类型：会议论文

英文题名：Periodic Solutions for High-Order Cohen-Grossberg-Type BAM Neural Networks with Time-Delays

作者：Ke, Yunquan[1];Miao, Chunfang[1]

机构：[1]Shaoxing Univ, Dept Math, Shaoxing 312000, Peoples R China

会议论文集：8th International Symposium on Neural Networks

会议日期：MAY 29-JUN 01, 2011

会议地点：Guilin, PEOPLES R CHINA

语种：英文

外文关键词：High-order Cohen-Grossberg-type BAM neural networks; Mean value theorem; Periodic solution; Exponential stability

外文摘要：In this paper, the existence and exponential stability is studied of periodic solutions for a class of high-order Cohen-Grossberg-type BAM neural networks with time-delays. By differential mean value theorem, integral mean value theorem and poincare mapping, several sufficient conditions guaranteeing the existence, uniqueness and exponential stability of periodic solutions for high-order Cohen-Grossberg-type BAM neural networks with time-delays are given. An illustrative examples are also given in the end to show the effectiveness of our results.