应用数学2012，Vol.25Issue(1)：160-166,7.
变时滞脉冲BAM神经网络的稳定性
Stability of Impulsive BAM Neural Networks with Time-varying Delays
高明1
作者信息
- 1. 包头师范学院数学科学学院,内蒙古包头014030
- 折叠
摘要
Abstract
This paper demonstrates that there is an unique exponentially stable equilibrium state in a delay BAM neural networks that is subject to large impulses that are not too frequent.The analysis exploits a generalized comparison principle and M-matrix theory to derive some easily verifiable sufficient conditions for convergence to the unique globally stable equilibrium state.The results extend and improve earlier publications.关键词
双向联想记忆神经网络/全局指数稳定性/脉冲/时滞Key words
BAM neural networks/Global exponential stability/Impulses/Delay分类
数理科学引用本文复制引用
高明..变时滞脉冲BAM神经网络的稳定性[J].应用数学,2012,25(1):160-166,7.
