Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27653
Title: Knowledge acquisition on manipulation of flow and water quality models
Authors: Chau, KW 
Issue Date: 2005
Publisher: Springer-Verlag Berlin
Source: Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics), 2005, v. 3607 lnai, p. 356-357 How to cite?
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 
Abstract: At present, numerical simulation has become the norm to mimic coastal flow and water quality problems. Yet, results from algorithmic procedure sometimes appear unreasonable, in particular when a model is initially set up. The incorporation of existing heuristic knowledge on model manipulation into the modeling system is able to provide great assistance to novice users who may lack the requisite knowledge to establish the model properly. Knowledge comprising the correct manipulation direction and the means to enhance manipulation effectiveness is encapsulated. Through an appropriate knowledge acquisition facility, recent artificial intelligence technology is coupled into numerical modeling system for simulating the manipulation process. It is able to assist the user to formulate a suitable strategy for striking a balance between accuracy and effectiveness and to tune the model to accomplish satisfactory modeling of real phenomena. It can bridge the existing gap between numerical modelers and practitioners in this domain.
Description: 6th International Symposium on Abstraction, Reformulation and Approximation, SARA 2005, Airth Castle, Scotland, 26-29 July 2005
URI: http://hdl.handle.net/10397/27653
ISBN: 3540278729
9783540278726
ISSN: 0302-9743
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

25
Last Week
0
Last month
Checked on Feb 19, 2017

Google ScholarTM

Check



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.