QQ客服 官方微博 反馈留言

	A new approach to predict the missing values of algae during water quality monitoring programs based on a hybrid moth search algorithm and the random vector functional link network
	Hussein, Ahmed M.; Abd Elaziz, Mohamed; Abdel Wahed, Mahmoud S.M.; Sillanpää, Mika
刊名	Journal of Hydrology
	2019
卷号	575
ISSN号	0022-1694
DOI	10.1016/j.jhydrol.2019.05.073
URL标识	查看原文
收录类别	EI
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4242410
专题	武汉大学
推荐引用方式 GB/T 7714	Hussein, Ahmed M.,Abd Elaziz, Mohamed,Abdel Wahed, Mahmoud S.M.,et al. A new approach to predict the missing values of algae during water quality monitoring programs based on a hybrid moth search algorithm and the random vector functional link network[J]. Journal of Hydrology,2019,575.
APA	Hussein, Ahmed M.,Abd Elaziz, Mohamed,Abdel Wahed, Mahmoud S.M.,&Sillanpää, Mika.(2019).A new approach to predict the missing values of algae during water quality monitoring programs based on a hybrid moth search algorithm and the random vector functional link network.Journal of Hydrology,575.
MLA	Hussein, Ahmed M.,et al."A new approach to predict the missing values of algae during water quality monitoring programs based on a hybrid moth search algorithm and the random vector functional link network".Journal of Hydrology 575(2019).

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。