摘要
研究一类具有变时滞的离散型随机BAM神经网络。通过构造Lyapunov泛函以及线性矩阵不等式（LMI），得出了离散系统全局渐近稳定的充分条件。
In this paper, a discrete-time stochastic BAM neural networks with time-varying delay is investigated. By using the Lyapunov functional method and linear matrix inequality （LMI） approach, some sufficient conditions ensuring globally stability of the discrete-time stochastic system are derived.
出处
《军械工程学院学报》
2011年第6期73-76,共4页
Journal of Ordnance Engineering College
基金
国家自然科学基金资助项目（11071254）
关键词
稳定性
离散神经网络
随机神经网络
BAM
变时滞
stability
discrete-time neural networks
stochastic neural networks
BAM neural net-works
time-varying delay
