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	An Improved Grey Multivariable Verhulst Model for Predicting CO2 Emissions in China
	Hu Y.-C.; Jiang H.; Jiang P.; Kong P.
刊名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
	2019
卷号	11589 LNCS页码:354-366
关键词	Bilateral FDI CO2 emissions Grey multivariable verhulst model Residual modification
DOI	10.1007/978-3-030-22338-0_29
URL标识	查看原文
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/4547503
专题	山东大学
作者单位	1.Department of Business Administration, Chung Yuan Christian University, Taoyuan, Taiwan 2.School of Business Administration, Jime
推荐引用方式 GB/T 7714	Hu Y.-C.,Jiang H.,Jiang P.,et al. An Improved Grey Multivariable Verhulst Model for Predicting CO2 Emissions in China[J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),2019,11589 LNCS:354-366.
APA	Hu Y.-C.,Jiang H.,Jiang P.,&Kong P..(2019).An Improved Grey Multivariable Verhulst Model for Predicting CO2 Emissions in China.Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),11589 LNCS,354-366.
MLA	Hu Y.-C.,et al."An Improved Grey Multivariable Verhulst Model for Predicting CO2 Emissions in China".Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11589 LNCS(2019):354-366.

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