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Hybridizing exponential smoothing and neural network for financial time series predication
Lai, Kin Keung; Yu, Lean; Wang, Shouyang; Huang, Wei
2006
发表期刊COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS
ISSN0302-9743
卷号3994页码:493-500
摘要In this study, a hybrid synergy model integrating exponential smoothing and neural network is proposed for financial time series prediction. The proposed model attempts to incorporate the linear characteristics of an exponential smoothing model and nonlinear patterns of neural network to create a "synergetic" model via the linear programming technique. For verification, two real-world financial time series are used for testing purpose.
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Theory & Methods
WOS记录号WOS:000238417500069
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/3915
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 Adm, Changsha 410082, Peoples R China
2.City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
3.Chinese Acad Sci, Inst Syst Sci, Acad Math & 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. Hybridizing exponential smoothing and neural network for financial time series predication[J]. COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS,2006,3994:493-500.
APA Lai, Kin Keung,Yu, Lean,Wang, Shouyang,&Huang, Wei.(2006).Hybridizing exponential smoothing and neural network for financial time series predication.COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS,3994,493-500.
MLA Lai, Kin Keung,et al."Hybridizing exponential smoothing and neural network for financial time series predication".COMPUTATIONAL SCIENCE - ICCS 2006, PT 4, PROCEEDINGS 3994(2006):493-500.
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