QQ客服 官方微博 反馈留言

	Forecasting the number of end-of-life vehicles using a hybrid model based on grey model and artificial neural network
	Hao, Hao[1]; Zhang, Qian[2]; Wang, Zhiguo[3]; Zhang, Ji[4]
刊名	JOURNAL OF CLEANER PRODUCTION
	2018
卷号	202页码:684-696
关键词	Forecasting End-of-life vehicles Grey model Artificial neural network Reverse logistics
ISSN号	0959-6526
URL标识	查看原文
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2170871
专题	上海大学
作者单位	1.[1]Shanghai Polytech Univ, Sch Econ & Management, Shanghai, Peoples R China. 2.Shanghai Univ, Sch Management, Shanghai, Peoples R China. 3.[2]Shanghai Polytech Univ, Sch Econ & Management, Shanghai, Peoples R China. 4.[3]Shanghai Univ, Sch Management, Shanghai, Peoples R China. 5.[4]Shanghai Polytech Univ, Sch Econ & Management, Shanghai, Peoples R China.
推荐引用方式 GB/T 7714	Hao, Hao[1],Zhang, Qian[2],Wang, Zhiguo[3],et al. Forecasting the number of end-of-life vehicles using a hybrid model based on grey model and artificial neural network[J]. JOURNAL OF CLEANER PRODUCTION,2018,202:684-696.
APA	Hao, Hao[1],Zhang, Qian[2],Wang, Zhiguo[3],&Zhang, Ji[4].(2018).Forecasting the number of end-of-life vehicles using a hybrid model based on grey model and artificial neural network.JOURNAL OF CLEANER PRODUCTION,202,684-696.
MLA	Hao, Hao[1],et al."Forecasting the number of end-of-life vehicles using a hybrid model based on grey model and artificial neural network".JOURNAL OF CLEANER PRODUCTION 202(2018):684-696.

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。