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	A New Conjugate Gradient Method with Smoothing L-1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks
	Li, Wenyu; Liu, Yan; Yang, Jie; Wu, Wei
刊名	NEURAL PROCESSING LETTERS
	2018
卷号	48页码:955-978
关键词	Feedforward neural networks Conjugate gradient method Modified secant equation Regularization Global convergence
ISSN号	1370-4621
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3258502
专题	大连理工大学
作者单位	1.Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China. 2.Beihua Univ, Sch Math & Stat, Jilin 132013, Jilin, Peoples R China. 3.Dalian Polytech Univ, Sch Informat Sci & Engn, Dalian 116034, Peoples R China. 4.Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China.
推荐引用方式 GB/T 7714	Li, Wenyu,Liu, Yan,Yang, Jie,et al. A New Conjugate Gradient Method with Smoothing L-1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks[J]. NEURAL PROCESSING LETTERS,2018,48:955-978.
APA	Li, Wenyu,Liu, Yan,Yang, Jie,&Wu, Wei.(2018).A New Conjugate Gradient Method with Smoothing L-1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks.NEURAL PROCESSING LETTERS,48,955-978.
MLA	Li, Wenyu,et al."A New Conjugate Gradient Method with Smoothing L-1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks".NEURAL PROCESSING LETTERS 48(2018):955-978.

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