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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/2398

Title: A hybrid reasoning system for supporting estuary modelling
Authors: Chung, Paul Wai Hing
Passone, Sara
Nassehi, Vahid
Keywords: Case based reasoning
Genetic algorithms
Estuary modelling
IT systems
Issue Date: 2005
Publisher: © IWA Publishing
Citation: CHUNG, P.W.H., PASSONE, S. and NASSEHI, V., 2006. A hybrid reasoning system for supporting estuary modelling. Journal of Hydroinformatics, 7 (3), pp. 185-198.
Abstract: In this paper the development of a Case-Based reasoning system for Estuarine Modelling (CBEM) is presented. The aim of the constructed CBEM system is to facilitate the utilisation of complex modelling software by users who lack detailed knowledge about modelling techniques and require training and assistance to implement sophisticated schemes effectively. The system is based on modern computing methods and is constructed as a hybrid of three modules which operate conjunctively to guide the user to obtain the best possible simulation for realistic problems. These modules are: a case-based reasoning scheme a genetic algorithm and a library of numerical estuarine models. Based on the features of a given estuary and the physical phenomenon to be modelled, an appropriate solution algorithm from the system’s library is retrieved by the case-based module after a specifically designed reasoning process. The selected model is then analysed and further treated by the genetic algorithm component to find optimum parameters which can appropriately model the conditions and characteristics of any given estuary. Finally, the user is provided with a procedure that gives the best solution for a problem using the available hydrographic data and under the specified conditions. As an illustrative example and to show the applicability of the present CBEM system under realistic conditions a case study based on the simulation of salinity distribution in the Tay estuary (Scotland, UK) is given in this paper.
Description: This article was published in the journal, Journal of Hydroinformatics [© IWA Publishing] and the definitive version is available at: http://www.iwaponline.com/jh/toc.htm
URI: https://dspace.lboro.ac.uk/2134/2398
ISSN: 1464-7141
Appears in Collections:Published Articles (Computer Science)

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