A novel hybrid AI system framework for crude oil price forecasting

被引：0

作者：

Wang, SY ^{[1
]}

Yu, L

Lai, KK

机构：

[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

来源：

DATA MINING AND KNOWLEDGE MANAGEMENT | 2004年 / 3327卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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.

引用

页码：233 / 242

页数：10

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