| 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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| 引用本文： | 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),2013,0(2):195-198. |
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| 作者姓名： | 张千宏 邵远夫 刘璟忠 |
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| 作者单位： | 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 |
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| 基金项目： | 国家自然科学基金(11161015);贵州省科技厅自然科学基金([2011]J2096)资助项目 |
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| 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.
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| 关 键 词： | 模糊细胞神经网络 Brownian运动 Ito公式 均方指数稳定 |
Analysis of Mean Square Exponential Stability for Stochastic Fuzzy Cellular Neural Networks with Delays |
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| ZHANG Qian-hong,SHAO Yuan-fu,LIU Jing-zhong.Analysis of Mean Square Exponential Stability for Stochastic Fuzzy Cellular Neural Networks with Delays[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2013,0(2):195-198. |
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| Authors: | ZHANG Qian-hong SHAO Yuan-fu LIU Jing-zhong |
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| Institution: | ZHANG Qian-hong1,SHAO Yuan-fu2,LIU Jing-zhong3(1.Guizhou Key Laboratory of Economics System Simulation,Guizhou University of Finance and Economics, Guiyang Guizhou 550004,China;2.School of Science,Guilin University of Technology,Guilin Guangxi 541000,China; 3.School of Computer and Information Science,Hunan Institute of Technology,Hengyang Hunan 421002,China) |
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| 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. |
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| Keywords: | fuzzy cellular neural networks Brownian motion Ito formula mean square exponential stability |
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