吉首大学学报（自然科学版）2006，Vol.27Issue(1)：32-38,7.
时滞神经网络周期解存在性及全局指数稳定性
Existence and Globally Exponential Stability of Periodic Solutions for Neural Networks with Delays
摘要
Abstract
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.关键词
神经网络/周期解/全局指数稳定/M-矩阵Key words
neural network/periodic solutions/globally exponential stability/M-matrix分类
数理科学引用本文复制引用
蒋利群..时滞神经网络周期解存在性及全局指数稳定性[J].吉首大学学报（自然科学版）,2006,27(1):32-38,7.基金项目
The Scientific Research Plan Item of Hunan Provincial Department of Education (04C491) （04C491）
