中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new method for crude oil price forecasting based on support vector machines

文献类型:期刊论文

作者Xie, Wen; Yu, Lean; Xu, Shanying; Wang, Shouyang
刊名COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS
出版日期2006
卷号3994页码:444-451
ISSN号0302-9743
英文摘要This paper proposes a new method for crude oil price forecasting based on support vector machine (SVM). The procedure of developing a support vector machine model for time series forecasting involves data sampling, sample preprocessing, training & learning and out-of-sample forecasting. To evaluate the forecasting ability of SVM, we compare its performance with those of ARIMA and BPNN. The experiment results show that SVM outperforms the other two methods and is a fairly good candidate for the crude oil price prediction.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000238417500063
出版者SPRINGER-VERLAG BERLIN
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/3263]  
专题系统科学研究所
通讯作者Xie, Wen
作者单位Chinese Acad Sci, Inst Syst Sci, Acad Math & Syst Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Xie, Wen,Yu, Lean,Xu, Shanying,et al. A new method for crude oil price forecasting based on support vector machines[J]. COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS,2006,3994:444-451.
APA Xie, Wen,Yu, Lean,Xu, Shanying,&Wang, Shouyang.(2006).A new method for crude oil price forecasting based on support vector machines.COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS,3994,444-451.
MLA Xie, Wen,et al."A new method for crude oil price forecasting based on support vector machines".COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS 3994(2006):444-451.

入库方式: OAI收割

来源:数学与系统科学研究院

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