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	Neural networks for computing best rank-one approximations of tensors and its applications
	Che, Maolin; Cichocki, Andrzej; Wei, Yimin
刊名	NEUROCOMPUTING
	2017
卷号	267
关键词	Neural network Ordinary differential equations Lyapunov function Lyapunov stability theory Rank-one tensor Best rank-one approximation Z-eigenpair Symmetric-definite tensor pair H-eigenpair The local maximal generalized eigenpair The local minimal generalized eigenpair Generalized tensor eigenpair Local optimal rank-one approximation Restricted singular value Restricted singular vector
ISSN号	0925-2312
URL标识	查看原文
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3612356
专题	复旦大学上海医学院
推荐引用方式 GB/T 7714	Che, Maolin,Cichocki, Andrzej,Wei, Yimin. Neural networks for computing best rank-one approximations of tensors and its applications[J]. NEUROCOMPUTING,2017,267.
APA	Che, Maolin,Cichocki, Andrzej,&Wei, Yimin.(2017).Neural networks for computing best rank-one approximations of tensors and its applications.NEUROCOMPUTING,267.
MLA	Che, Maolin,et al."Neural networks for computing best rank-one approximations of tensors and its applications".NEUROCOMPUTING 267(2017).

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