An Adaptive Lasso Grey Model for Regional FDI Statistics Prediction

作     者：Juan Huang Bifang Zhou Huajun Huang Jianjiang Liu Neal N.Xiong 

作者机构：Centre for Innovation Research in Social GovernanceChangsha University of Science and TechnologyChangsha410114China College of Information Technology and ManagementHunan University of Finance and EconomicsChangsha410205China Department of Mathematics and Computer ScienceNortheastern State UniversityTahlequah74464USA 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2021年第69卷第11期

页      面：2111-2121页

核心收录：

学科分类：12[管理学] 02[经济学] 0202[经济学-应用经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 020204[经济学-金融学（含∶保险学）] 

基　　金：This work was supported in part by the National Key R&D Program of China(No.2019YFE0122600),author H.H,https://service.most.gov.cn/ in part by the Project of Centre for Innovation Research in Social Governance of Changsha University of Science and Technology(No.2017ZXB07),author J.H,https://www.csust.edu.cn/mksxy/yjjd/shzlcxyjzx.htm in part by the Public Relations Project of Philosophy and Social Science Research Project of the Ministry of Education(No.17JZD022),author J.L,http://www.moe.gov.cn/ in part by the Key Scientific Research Projects of Hunan Provincial Department of Education(No.19A015),author J.L,http://jyt.hunan.gov.cn/ in part by the Hunan 13th five-year Education Planning Project(No.XJK19CGD011),author J.H,http://ghkt.hntky.com/ 

主　　题：Adaptive lasso grey model algorithm regional FDI statistics mean value of regional FDI median value of regional FDI 

摘      要：To overcome the deficiency of traditional mathematical statistics methods,an adaptive Lasso grey model algorithm for regional FDI(foreign direct investment)prediction is proposed in this paper,and its validity is ***,the characteristics of the FDI data in six provinces of Central China are generalized,and the mixture model’s constituent variables of the Lasso grey problem as well as the grey model are ***,based on the influencing factors of regional FDI statistics(mean values of regional FDI and median values of regional FDI),an adaptive Lasso grey model algorithm for regional FDI was ***,an application test in Central China is taken as a case study to illustrate the feasibility of the adaptive Lasso grey model algorithm in regional FDI *** also select RMSE(root mean square error)and MAE(mean absolute error)to demonstrate the convergence and the validity of the ***,we train this proposedal gorithm according to the regional FDI statistical data in six provinces in Central China from 2006 to *** then use it to predict the regional FDI statistical data from 2019 to 2023 and show its changing *** extended work for the adaptive Lasso grey model algorithm and its procedure to other regional economic fields is also discussed.