A novel hybrid AI system framework for crude oil price forecasting

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	A novel hybrid AI system framework for crude oil price forecasting
	Wang, SY ; Yu, L ; Lai, KK
	2004
发表期刊	DATA MINING AND KNOWLEDGE MANAGEMENT
ISSN	0302-9743
卷号	3327 页码:233-242
摘要	In 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.
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号	WOS:000227493600026
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/19517
专题	中国科学院数学与系统科学研究院
通讯作者	Wang, SY
作者单位	1.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
推荐引用方式 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.