Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1239
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorChau, KW-
dc.creatorCheng, C-
dc.creatorLi, YS-
dc.creatorLi, CW-
dc.creatorWai, WHO-
dc.date.accessioned2014-12-11T08:23:41Z-
dc.date.available2014-12-11T08:23:41Z-
dc.identifier.isbn978-3-540-43781-9-
dc.identifier.urihttp://hdl.handle.net/10397/1239-
dc.descriptionSeries: Lecture notes in computer scienceen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture notes in artificial intelligence ; v. 2358-
dc.rights© Springer-Verlag Berlin Heidelberg 2002. The original publication is available at http://www.springerlink.com.en_US
dc.subjectWater quality modellingen_US
dc.subjectArtificial intelligenceen_US
dc.subjectHydrodynamicsen_US
dc.titleAn intelligent knowledge processing system on hydrodynamics and water quality modelingen_US
dc.typeBook Chapteren_US
dc.description.otherinformationAuthor name used in this publication: K. W. Chauen_US
dc.description.otherinformationAuthor name used in this publication: O. Waien_US
dc.description.otherinformationAuthor name used in this publication: Y. S. Lien_US
dc.identifier.doi10.1007/3-540-48035-8_65-
dcterms.abstractIn 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn T Hendtlas & M Ali (Eds.), Developments in applied artificial intelligence : 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Cairns, Australia, June 2002 : proceedings, p. 670-679. Berlin ; New York: Springer, 2002-
dcterms.issued2002-
dc.identifier.isiWOS:000180978400066-
dc.relation.ispartofbookDevelopments in applied artificial intelligence : 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Cairns, Australia, June 2002 : proceedings-
dc.relation.conferenceInternational Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems [IEA/AIE]-
dc.publisher.placeBerlin ; New Yorken_US
dc.identifier.rosgroupidr09312-
dc.description.ros2001-2002 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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