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Case-Based Reasoning for Estuarine Model Design

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Advances in Case-Based Reasoning (ECCBR 2002)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2416))

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Abstract

Estuaries are complex natural water systems. Their behaviour depend on many factors, which are possible to analyse only by adopting different study approaches. The physical processes within estuaries, such as floods and pollutant dispersion, are generally investigated through computer modelling. In this paper the application of case-based reasoning technology to support the design of estuarine models is described. The system aims to provide a nonexpert user in modelling with the necessary guidance for selecting a model that matches his goal and the nature of the problem to be solved. The system is based on three components: a case-based reasoning scheme, a genetic algorithm and a library of numerical estuarine models. An example based on the Upper Milford Haven estuary (UK) is used to demonstrate the efficacy of the system’s structure for supporting estuarine model design.

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Author information

Authors and Affiliations

  1. Chemical Engineering Department, Loughborough University, Leicestershire, LE11 3TU, UK

    Sara Passone & Vahid Nassehi

  2. Computer Science Department, Loughborough University, Leicestershire, LE11 3TU, UK

    Paul W. H. Chung

Authors
  1. Sara Passone
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  2. Paul W. H. Chung
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  3. Vahid Nassehi
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Editor information

Editors and Affiliations

  1. School of Computing, The Robert Gordon University, St. Andrew Street, Aberdeen, AB25 1HG, Scotland, UK

    Susan Craw

  2. Computing Science Department, University of Aberdeen, Aberdeen, AB24 3UE, Scotland, UK

    Alun Preece

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© 2002 Springer-Verlag Berlin Heidelberg

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Passone, S., Chung, P.W.H., Nassehi, V. (2002). Case-Based Reasoning for Estuarine Model Design. In: Craw, S., Preece, A. (eds) Advances in Case-Based Reasoning. ECCBR 2002. Lecture Notes in Computer Science(), vol 2416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46119-1_43

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  • DOI: https://doi.org/10.1007/3-540-46119-1_43

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44109-0

  • Online ISBN: 978-3-540-46119-7

  • eBook Packages: Springer Book Archive

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