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	A regression model on effective exchange rate of RMB based on Random Forest
	Lv, Weihang ; Zhang, Renshou ; Lv WH(吕伟航)
	2011
关键词	Electronic commerce Feature extraction Government data processing Linear regression
英文摘要	Conference Name:2nd International Conference on E-Business and E-Government, ICEE 2011. Conference Address: Shanghai, China. Time:May 6, 2011 - May 8, 2011.; Shanghai University; Shanghai Business School; Nanjing University of Information Science and Technology; Shanghai Institute of Foreign Trade; RMB exchange rate becomes more uncertain with 2008 financial crisis. The relation between RMB exchange rate and the impact factors is worth to study. In this paper, a regression model between RMB exchange rate and the economic indicators is obtained by Random Forests (RF) method, where the economic indicators is also selected with RF. In addition, the comparison experiments between RF, support vector machine (SVM) and multiple linear regression method show that RF method achieves a better result. ? 2011 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICEBEG.2011.5882520
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85372]
专题	航空航天－会议论文
推荐引用方式 GB/T 7714	Lv, Weihang,Zhang, Renshou,Lv WH. A regression model on effective exchange rate of RMB based on Random Forest. 2011-01-01.

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