QQ客服 官方微博 反馈留言

	Smoothed L-1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results
	Liu, Yan; Yang, Dakun; Li, Feng
刊名	JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
	2018
卷号	355页码:6132-6151
ISSN号	0016-0032
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/3260442
专题	大连理工大学
作者单位	1.Dalian Polytech Univ, Sch Informat Sci & Engn, Dalian 116034, Peoples R China. 2.Sun Yat Sen Univ, Sch Informat Sci & Technol, Guangzhou 510006, Guangdong, Peoples R China. 3.Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China.
推荐引用方式 GB/T 7714	Liu, Yan,Yang, Dakun,Li, Feng. Smoothed L-1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results[J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,2018,355:6132-6151.
APA	Liu, Yan,Yang, Dakun,&Li, Feng.(2018).Smoothed L-1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results.JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS,355,6132-6151.
MLA	Liu, Yan,et al."Smoothed L-1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results".JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS 355(2018):6132-6151.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。