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	Improved ELM optimization model for automobile insurance fraud identification based on AFSA
	Yan, Chun; Li, Meixuan; Liu, Wei
刊名	INTELLIGENT DATA ANALYSIS
	2019
卷号	23页码:S67-S85
关键词	Vehicle insurance fraud artificial fish swarm algorithm extreme learning machine
DOI	10.3233/IDA-192765
会议名称	4th International Conference on Fuzzy Systems and Data Mining (FSDM)
URL标识	查看原文
会议日期	NOV 16-19, 2018
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4545376
专题	山东大学
作者单位	1.Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Shandong, Peoples R China. 2.Shandong Univ Sci
推荐引用方式 GB/T 7714	Yan, Chun,Li, Meixuan,Liu, Wei. Improved ELM optimization model for automobile insurance fraud identification based on AFSA[J]. INTELLIGENT DATA ANALYSIS,2019,23:S67-S85.
APA	Yan, Chun,Li, Meixuan,&Liu, Wei.(2019).Improved ELM optimization model for automobile insurance fraud identification based on AFSA.INTELLIGENT DATA ANALYSIS,23,S67-S85.
MLA	Yan, Chun,et al."Improved ELM optimization model for automobile insurance fraud identification based on AFSA".INTELLIGENT DATA ANALYSIS 23(2019):S67-S85.

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