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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Chau, K.W. (2005). Knowledge Acquisition on Manipulation of Flow and Water Quality Models. In: Zucker, JD., Saitta, L. (eds) Abstraction, Reformulation and Approximation. SARA 2005. Lecture Notes in Computer Science(), vol 3607. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527862_31
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DOI: https://doi.org/10.1007/11527862_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27872-6
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