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	Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sigma neural networks (EI收录SCI收录)
	Liu, Yan[1,4]; Li, Zhengxue[2]; Yang, Dakun[3]; Mohamed, Kh.Sh.[2]; Wang, Jing[4]; Wu, Wei[2]
刊名	Neurocomputing
	2015
卷号	151页码:333-341
关键词	Algorithms Gradient methods
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/2212295
专题	华南理工大学
作者单位	1.[1] School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China 2.[2] School of Mathematical Sciences, Dalian University of Technology, Dalian, China 3.[3] School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China 4.[4] School of Electronic and Information Engineering, Dalian University of Technology, Dalian, China
推荐引用方式 GB/T 7714	Liu, Yan[1,4],Li, Zhengxue[2],Yang, Dakun[3],等. Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sigma neural networks (EI收录SCI收录)[J]. Neurocomputing,2015,151:333-341.
APA	Liu, Yan[1,4],Li, Zhengxue[2],Yang, Dakun[3],Mohamed, Kh.Sh.[2],Wang, Jing[4],&Wu, Wei[2].(2015).Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sigma neural networks (EI收录SCI收录).Neurocomputing,151,333-341.
MLA	Liu, Yan[1,4],et al."Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sigma neural networks (EI收录SCI收录)".Neurocomputing 151(2015):333-341.

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