[1]张千宏,邵远夫,刘璟忠.随机时滞模糊细胞神经网络均方指数稳定性分析[J].江西师范大学学报(自然科学版),2013,(02):195-198.
 ZHANG Qian-hong,SHAO Yuan-fu,LIU Jing-zhong.Analysis of Mean Square Exponential Stability for Stochastic Fuzzy Cellular Neural Networks with Delays[J].,2013,(02):195-198.
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随机时滞模糊细胞神经网络均方指数稳定性分析()
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《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年02期
页码:
195-198
栏目:
出版日期:
2013-03-01

文章信息/Info

Title:
Analysis of Mean Square Exponential Stability for Stochastic Fuzzy Cellular Neural Networks with Delays
作者:
张千宏;邵远夫;刘璟忠
贵州财经大学贵州省经济系统仿真重点实验室 贵州贵阳550004;桂林理工大学理学院,广西桂林,541000;湖南工学院计算机与信息科学学院,湖南衡阳,421002
Author(s):
ZHANG Qian-hong;SHAO Yuan-fu;LIU Jing-zhong
关键词:
模糊细胞神经网络Brownian运动Ito公式均方指数稳定
Keywords:
fuzzy cellular neural networksBrownian motionIto formulamean square exponential stability
分类号:
O175.13
文献标志码:
A
摘要:
利用Lyapunov泛函方法研究一类随机时滞模糊细胞神经网络平衡点的均方指数稳定性,并运用不等式技术、随机分析理论证明主要结果,最后给出例子验证结果的有效性.
Abstract:
Lyapunov functionals is used to consider the mean square exponential stability of stochastic fuzzy cellular neural networks.The main results are deduced by virtue of inequality and stochastic analysis theory.Finally,an example is given to show feasibility and effectiveness of our results.

参考文献/References:

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备注/Memo

备注/Memo:
国家自然科学基金(11161015);贵州省科技厅自然科学基金(
[2011]J2096)
更新日期/Last Update: 1900-01-01