[Yang, Hua; Liu, Jiangrong] Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430023, Peoples R China.
[Jiang, Feng] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China.
通讯机构：
[Yang, Hua] W
Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430023, Peoples R China.
语种：
英文
关键词：
Delayed Hopfield neural networks;Equilibrium solutions;Exponential stability in mean square;Markovian switching;Mean square stability;Numerical simulation;Sufficient conditions;Computer simulation;Convergence of numerical methods;Neural networks;Number theory;Stability;Stochastic systems;Switching;Hopfield neural networks
期刊：
Lecture Notes in Computer Science
ISSN：
0302-9743
年：
2010
卷：
6063 LNCS
期：
PART 1
页码：
577-584
会议名称：
7th International Symposium on Neural Networks
会议论文集名称：
Lecture Notes in Computer Science
会议时间：
JUN 06-09, 2010
会议地点：
Shanghai, PEOPLES R CHINA
会议主办单位：
[Yang, Hua;Liu, Jiangrong] Wuhan Polytech Univ, Dept Math & Phys, Wuhan 430023, Peoples R China.^[Jiang, Feng] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Peoples R China.
会议赞助商：
Shanghai Jiao Tong Univ, Chinese Univ Hong Kong, IEEE Shanghai Sect, Int Neural Network Soc, IEEE Computat Intelligence Soc, Asia Pacific Neural Network Assembly, Int Assoc Math & Comp Simulat, European Neural Network Soc, Natl Nat Sci Fdn China
This paper is concerned with the mean square stability for stochastic delayed Hopfield neural networks with Markovian switching. The sufficient conditions to guarantee the exponential stability in mean square of an equilibrium solution are given. Moreover, we give the mean square stability of the numerical method. The result shows that the numerical method shares the stabil...
