摘要
运用重合度理论、M-矩阵理论及李雅普诺夫方法,获得了带时滞神经网络周期解存在性和全局指数稳定性的充分条件.
The sufficient conditions ensuring existence and globally exponential stability of periodic solutions for neural networks with delays are obtained by using coincide degree, M-matrix theory and Liapunov function method,
出处
《吉首大学学报（自然科学版）》
CAS
2006年第1期32-38,共7页
Journal of Jishou University(Natural Sciences Edition)
基金
TheScientificResearchPlanItemofHunanProvincialDepartmentofEducation(04C491)
关键词
神经网络
周期解
全局指数稳定
M-矩阵
neural network
periodic solutions
globally exponential stahility
M-matrix
