| 基于马氏切换的时滞脉冲随机Cohen-Grossberg神经网络模型的均方指数稳定性分析 |
| |
| 引用本文： | 李蕾,何秀丽.基于马氏切换的时滞脉冲随机Cohen-Grossberg神经网络模型的均方指数稳定性分析[J].南京气象学院学报,2017,9(3):326-331. |
| |
| 作者姓名： | 李蕾 何秀丽 |
| |
| 作者单位： | 河海大学 理学院, 南京, 211100;河海大学 理学院, 南京, 211100 |
| |
| 基金项目： | 中央高校基本科研业务费自由探索项目（A）（2015B19814） |
| |
| 摘 要： | 通过向量Lyapunov函数，给随机CGNNs以均方估计，研究基于马氏切换的脉冲时滞随机Cohen-Grossberg神经网络模型的均方指数稳定性，并利用数值例子对结论加以证明.
|
| 关 键 词： | Cohen-Grossberg网络模型 均方指数稳定性 马氏切换 |
| 收稿时间： | 2017/4/11 0:00:00 |
Mean-square exponential stability of the impulsive stochastic Cohen-Grossberg Neural networks with Markovian switching |
| |
| LI Lei and HE Xiuli.Mean-square exponential stability of the impulsive stochastic Cohen-Grossberg Neural networks with Markovian switching[J].Journal of Nanjing Institute of Meteorology,2017,9(3):326-331. |
| |
| Authors: | LI Lei and HE Xiuli |
| |
| Institution: | College of Science, Hohai University, Nanjing 211100;College of Science, Hohai University, Nanjing 211100 |
| |
| Abstract: | Focused on Cohen-Grossberg neural networks,this paper investigates the mean-square exponential stability by means of the vector Lyapunov function.This method ensures that the impulsive stochastic Cohen-Grossberg neural network is exponentially stable.Finally,an example is used to illustrate the conclusions. |
| |
| Keywords: | Cohen-Grossberg networks mean-square exponential stability Markovian switching |
|
| 点击此处可从《南京气象学院学报》浏览原始摘要信息 |
| 点击此处可从《南京气象学院学报》下载免费的PDF全文 |
