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	Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signalsSCI被引量：SCI原文链接
	Manivannan, R.[1]; Mahendralcumar, G.[1]; Samidurai, R.[1]; Cao, Jinde[2,3]; Alsaedi, Ahmed[4]
	2017
卷号	354期号:11页码:4353-4376
URL标识	查看原文
WOS记录号	WOS:000403517700005
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5779555
专题	山东师范大学
作者单位	1.[1]Thiruvalluvar Univ, Dept Math, Vellore 632115, Tamil Nadu, India 2.[2]Southeast Univ, Sch Math, Res Ctr Complex Syst & Network Sci, Nanjing 210096, Jiangsu, Peoples R China 3.[3]Shandong Normal Univ, Sch Math & Stat, Jinan 250014, Peoples R China 4.[4]King Abdulaziz Univ, Fac Sci, Nonlinear Anal & Appl Math NAAM Res Grp, Jeddah 21589, Saudi Arabia
推荐引用方式 GB/T 7714	Manivannan, R.[1],Mahendralcumar, G.[1],Samidurai, R.[1],等. Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signalsSCI被引量：SCI原文链接[J],2017,354(11):4353-4376.
APA	Manivannan, R.[1],Mahendralcumar, G.[1],Samidurai, R.[1],Cao, Jinde[2,3],&Alsaedi, Ahmed[4].(2017).Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signalsSCI被引量：SCI原文链接.,354(11),4353-4376.
MLA	Manivannan, R.[1],et al."Exponential stability and extended dissipativity criteria for generalized neural networks with interval time-varying delay signalsSCI被引量：SCI原文链接".354.11(2017):4353-4376.

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