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A novel hybrid AI system framework for crude oil price forecasting
Wang, SY; Yu, L; Lai, KK
2004
Source PublicationDATA MINING AND KNOWLEDGE MANAGEMENT
ISSN0302-9743
Volume3327Pages:233-242
AbstractIn this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rule-based expert system (RES) with web-based text mining (WTM) techniques. Within the hybrid AI system framework, a fully novel hybrid AI forecasting approach with conditional judgment and correction is proposed for improving prediction performance. The proposed framework and approach are also illustrated with an example here.
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS IDWOS:000227493600026
PublisherSPRINGER-VERLAG BERLIN
Citation statistics
Cited Times:23[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/19517
Collection中国科学院数学与系统科学研究院
Affiliation1.Univ Tsukuba, Inst Policy & Planning Sci, Tsukuba, Ibaraki 3058573, Japan
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100080, Peoples R China
3.Chinese Acad Sci, Sch Management, Grad Sch, Beijing 100039, Peoples R China
4.City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China
Recommended Citation
GB/T 7714
Wang, SY,Yu, L,Lai, KK. A novel hybrid AI system framework for crude oil price forecasting[J]. DATA MINING AND KNOWLEDGE MANAGEMENT,2004,3327:233-242.
APA Wang, SY,Yu, L,&Lai, KK.(2004).A novel hybrid AI system framework for crude oil price forecasting.DATA MINING AND KNOWLEDGE MANAGEMENT,3327,233-242.
MLA Wang, SY,et al."A novel hybrid AI system framework for crude oil price forecasting".DATA MINING AND KNOWLEDGE MANAGEMENT 3327(2004):233-242.
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