Global Stability of Neural Networks with Delays and Impulses

被引:0
|
作者
Yang, Fengjian [1 ]
Zhang, Chaolong [1 ]
Wu, Dongqing [1 ]
Yang, Jianfu [1 ]
Zeng, Yanshan [1 ]
Liang, Lishi [2 ]
Hong, Qun [3 ]
机构
[1] Zhongkai Univ Agr & Engn, Dept Computat Sci, Guangzhou 510225, Guangdong, Peoples R China
[2] Middle Sch Guangzhou City 5, Guangzhou 510220, Peoples R China
[3] Haizhu Dist Chigang Primary Sch Guangzhou City, Guangzhou 510310, Peoples R China
关键词
impulse; neural networks; delay; stability;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper is concerned with a class of neural networks with delays and impulses. Some sufficient conditions are obtained for the existence and globally exponential stability of a unique equilibrium solution without assuming the activation function to be bounded, monotonic or differentiable. An example is given to demonstrate the effectiveness of the obtained results.
引用
收藏
页码:455 / +
页数:2
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