变时滞高阶BAM神经网络的稳定性  

Exponential Stability of BAM Neural Networks with Time-Varying Delays

作　　者：邢青红[1] 闫卫平[1] 

机构地区：[1]太原工业学院理学系,山西太原030008

出　　处：《太原师范学院学报（自然科学版）》2013年第1期14-16,共3页Journal of Taiyuan Normal University:Natural Science Edition

摘　　要：文章研究高阶BAM神经网络的稳定性,运用Brouwer不动点定理以及Lyapunov泛函方法,得到周期解的存在唯一性和稳定性.The exponential stability of high-order BAM neural networks is paper, by using Brouwer fixed point theorem and Lyapunov function,the existence and exponential stability of periodic solution are obtained. studied in this and uniqueness

关 键 词：指数稳定 变时滞 李雅普诺夫函数 高阶BAM神经网络 

分 类 号：O175.13[理学—数学]