Abstract
A prototype software of Web-based Intelligent Forecasting System (WIFS) has been designed and implemented with software component and Internet technologies. New forecasting algorithm involving the use of a hybrid neural network and fuzzy logic technique is adopted in the system together with traditional statistical methods. Compared with comercial forecasting softwares in the market, the WIFS can handle wider range of data with improved forecasting accuracy. Its web- and component-based features will allows an organization to make forecasting through enterprise internet/intranet.
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© 2003 Springer-Verlag Berlin Heidelberg
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Li, X., Hee, KJ., Cheng, Y. (2003). A Web-Based Intelligent Forecasting System. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_136
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DOI: https://doi.org/10.1007/978-3-540-45226-3_136
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40804-8
Online ISBN: 978-3-540-45226-3
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