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A novel nonlinear neural network ensemble model for financial time series forecasting
Lai, Kin Keung; Yu, Lean; Wang, Shouyang; Wei, Huang
2006
发表期刊COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS
ISSN0302-9743
卷号3991页码:790-793
摘要In this study, a new nonlinear neural network ensemble model is proposed for financial time series forecasting. In this model, many different neural network models are first generated. Then the principal component analysis technique is used to select the appropriate ensemble members. Finally, the support vector machine regression method is used for neural network ensemble. For further illustration, two real financial time series are used for testing.
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Theory & Methods
WOS记录号WOS:000238389200102
出版者SPRINGER-VERLAG BERLIN
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/3106
专题系统科学研究所
通讯作者Lai, Kin Keung
作者单位1.Hunan Univ, Coll Business, Changsha 410082, Peoples R China
2.City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
3.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100080, Peoples R China
4.Huazhong Univ Sci & Technol, Sch Management, Wuhan 430074, Peoples R China
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GB/T 7714
Lai, Kin Keung,Yu, Lean,Wang, Shouyang,et al. A novel nonlinear neural network ensemble model for financial time series forecasting[J]. COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS,2006,3991:790-793.
APA Lai, Kin Keung,Yu, Lean,Wang, Shouyang,&Wei, Huang.(2006).A novel nonlinear neural network ensemble model for financial time series forecasting.COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS,3991,790-793.
MLA Lai, Kin Keung,et al."A novel nonlinear neural network ensemble model for financial time series forecasting".COMPUTATIONAL SCIENCE - ICCS 2006, PT 1, PROCEEDINGS 3991(2006):790-793.
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