Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1239
Title: An intelligent knowledge processing system on hydrodynamics and water quality modeling
Authors: Chau, KW 
Cheng, C
Li, YS 
Li, CW 
Wai, WHO 
Keywords: Water quality modelling
Artificial intelligence
Hydrodynamics
Issue Date: 2002
Publisher: Springer Berlin / Heidelberg
Source: Lecture notes in artificial intelligence, 2002, v. 2358, p. 670-679 How to cite?
Abstract: In order to aid novice users in the proper selection and application of myriad ever-complicated algorithmic models on coastal processes, needs arise on the incorporation of the recent artificial intelligence technology into them. This paper delineates an intelligent knowledge processing system on hydrodynamics and water quality modeling to emulate expert heuristic reasoning during the problem-solving process by integration of the pertinent descriptive, procedural, and reasoning knowledge. This prototype system is implemented using a hybrid expert system shell, Visual Rule Studio, which acts as an ActiveX Designer under the Microsoft Visual Basic programming environment. The architecture, solution strategies and development techniques of the system are also presented. The domain knowledge is represented in object-oriented programming and production rules, depending on its nature. Solution can be generated automatically through its robust inference mechanism. By custom-built interactive graphical user interfaces, it is capable to assist model users by furnishing with much needed expertise.
Description: Series: Lecture notes in computer science
URI: http://hdl.handle.net/10397/1239
ISBN: 978-3-540-43781-9
DOI: 10.1007/3-540-48035-8_65
Rights: © Springer-Verlag Berlin Heidelberg 2002. The original publication is available at http://www.springerlink.com.
Appears in Collections:Book Chapter

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