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	Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays (EI收录SCI收录)
	Gong, Weiqiang[1]; Liang, Jinling[1,2]; Cao, Jinde[1,3]
刊名	Neural Networks
	2015
卷号	70页码:81-89
关键词	Asymptotic stability Chemical activation Complex networks Lyapunov functions Stability Stability criteria Time varying control systems Time varying networks
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2211781
专题	华南理工大学
作者单位	1.[1] Department of Mathematics, Southeast University, Nanjing, China 2.[2] CSN Research Group, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia 3.[3] Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia
推荐引用方式 GB/T 7714	Gong, Weiqiang[1],Liang, Jinling[1,2],Cao, Jinde[1,3]. Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays (EI收录SCI收录)[J]. Neural Networks,2015,70:81-89.
APA	Gong, Weiqiang[1],Liang, Jinling[1,2],&Cao, Jinde[1,3].(2015).Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays (EI收录SCI收录).Neural Networks,70,81-89.
MLA	Gong, Weiqiang[1],et al."Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays (EI收录SCI收录)".Neural Networks 70(2015):81-89.

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