Convergence analyses on sparse feedforward neural networks via group lasso regularization

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	Convergence analyses on sparse feedforward neural networks via group lasso regularization
	Wang, J; Cai, QL; Chang, QQ; Zurada, JM
刊名	INFORMATION SCIENCES
	2017-03
卷号	381 页码:250-269
关键词	Clarke gradient Convergence Feedforward neural networks Group Lasso Non-differentiability
ISSN号	0020-0255
通讯作者	Wang, J (reprint author), China Univ Petr, Coll Sci, Qingdao 266580, Peoples R China. ; Wang, J (reprint author), Univ Louisville, Dept Elect & Comp Engn, Louisville, KY 40292 USA.
学科主题	Computer Science
出版地	NEW YORK
语种	英语
WOS记录号	WOS:000392786000016
内容类型	期刊论文
源URL	[http://ir.lzu.edu.cn/handle/262010/189033]
专题	数学与统计学院_期刊论文
推荐引用方式 GB/T 7714	Wang, J,Cai, QL,Chang, QQ,et al. Convergence analyses on sparse feedforward neural networks via group lasso regularization[J]. INFORMATION SCIENCES,2017,381:250-269.
APA	Wang, J,Cai, QL,Chang, QQ,&Zurada, JM.(2017).Convergence analyses on sparse feedforward neural networks via group lasso regularization.INFORMATION SCIENCES,381,250-269.
MLA	Wang, J,et al."Convergence analyses on sparse feedforward neural networks via group lasso regularization".INFORMATION SCIENCES 381(2017):250-269.