Exponential convergence estimates for neural networks with multiple   delays

doi:10.1109/TCSI.2002.805715

CORC > 北京大学 > 工学院

	Exponential convergence estimates for neural networks with multiple delays
	Chu, TG ; Wang, ZL ; Wang, L
刊名	ieee transactions on circuits and systems i regular papers
	2002
关键词	comparison method global exponential convergence multiple time delays neural networks FUNCTIONAL-DIFFERENTIAL EQUATIONS QUALITATIVE-ANALYSIS STABILITY TEMPLATES DYNAMICS SYSTEMS CNNS
DOI	10.1109/TCSI.2002.805715
英文摘要	Componentwise estimates of (global) exponential convergence are obtained for a class of neural networks with multiple delays by comparison method for delay differential equations. The method is simple and straightforward and does not resort to any Lyapunov functional. The main result shows explicitly the effect of time delays on exponential decay rate of the networks and is hence of practical interest in designing a fast and stable neural network. Compared with some existing results for stability of the Hopfield network model and delayed cellular neural network model via Lyapunov method, the present results can provide further detailed characterization of the convergence behavior for the systems under the same or similar conditions.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000180273100017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Engineering, Electrical & Electronic; SCI(E); EI; 6; ARTICLE; 12; 1829-1832; 49
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/155150]
专题	工学院
推荐引用方式 GB/T 7714	Chu, TG,Wang, ZL,Wang, L. Exponential convergence estimates for neural networks with multiple delays[J]. ieee transactions on circuits and systems i regular papers,2002.
APA	Chu, TG,Wang, ZL,&Wang, L.(2002).Exponential convergence estimates for neural networks with multiple delays.ieee transactions on circuits and systems i regular papers.
MLA	Chu, TG,et al."Exponential convergence estimates for neural networks with multiple delays".ieee transactions on circuits and systems i regular papers (2002).