A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting
Sun, Shaolong1,2,5; Wang, Shouyang1,4,5; Wei, Yunjie1,3,4; Zhang, Guowei1,5
刊名IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
2020-06-01
卷号50期号:6页码:2284-2292
关键词Forecasting Exchange rates Predictive models Self-organizing feature maps Clustering algorithms exchange rates forecasting kernel-based extreme learning machine (KELM) nonlinear ensemble
ISSN号2168-2216
DOI10.1109/TSMC.2018.2799869
英文摘要A clustering-based nonlinear ensemble (CNE) learning approach is proposed in this paper to forecast exchange rates. In the proposed CNE learning approach: 1) a self-organizing map neural network is introduced to cluster the in-sample component forecasts; 2) kernel-based extreme learning machine is employed to calculate the in-sample ensemble weights for each cluster; and 3) the corresponding clusters' in-sample ensemble weights are used for out-of-sample component forecasts to obtain the ensemble forecasts. To illustrate and verify the effectiveness of our proposed model, we test its directional and level forecasting accuracy using four major exchange rates. The out-of-sample forecasting performance results show that the proposed CNE learning approach consistently outperforms the component models and other ensemble learning approaches in terms of the directional forecasting accuracy and the level forecasting accuracy.
资助项目National Natural Science Foundation of China[71373262]
WOS研究方向Automation & Control Systems ; Computer Science
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:000536768200028
内容类型期刊论文
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/51491]  
专题中国科学院数学与系统科学研究院
通讯作者Wei, Yunjie
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
2.City Univ Hong Kong, Dept Syst Engn & Engn Management, Hong Kong, Peoples R China
3.City Univ Hong Kong, Dept Management Sci, Hong Kong, Peoples R China
4.Chinese Acad Sci, Ctr Forecasting Sci, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Sun, Shaolong,Wang, Shouyang,Wei, Yunjie,et al. A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2020,50(6):2284-2292.
APA Sun, Shaolong,Wang, Shouyang,Wei, Yunjie,&Zhang, Guowei.(2020).A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,50(6),2284-2292.
MLA Sun, Shaolong,et al."A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 50.6(2020):2284-2292.
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