Abstract
In this study, a novel hybrid AI system framework is developed by means of a systematic integration of artificial neural networks (ANN) and rulebased 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.
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Wang, S., Yu, L., Lai, K.K. (2004). A Novel Hybrid AI System Framework for Crude Oil Price Forecasting. In: Shi, Y., Xu, W., Chen, Z. (eds) Data Mining and Knowledge Management. CASDMKM 2004. Lecture Notes in Computer Science(), vol 3327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30537-8_26
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DOI: https://doi.org/10.1007/978-3-540-30537-8_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23987-1
Online ISBN: 978-3-540-30537-8
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