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Finding the right model for bridge diagnosis

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Artificial Intelligence in Structural Engineering

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1454))

Abstract

This paper describes a hybrid reasoning system for complex diagnostic tasks in structural engineering. This project combines results from research into compositional modelling with model reuse for improving the quality of diagnosis through a systematic consideration of feasible models for explaining observations. This leads to more accurate predictions of behaviour and as a result, improved structural management.

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Authors and Affiliations

  1. Institute of Structural Engineering and Mechanics (ISS-IMAC), EPFL-Federal Institute of Technology, CH-1015, Lausanne, Switzerland

    B. Raphael & I. Smith

Authors
  1. B. Raphael
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  2. I. Smith
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Ian Smith

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© 1998 Springer-Verlag Berlin Heidelberg

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Raphael, B., Smith, I. (1998). Finding the right model for bridge diagnosis. In: Smith, I. (eds) Artificial Intelligence in Structural Engineering. Lecture Notes in Computer Science, vol 1454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030459

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  • DOI: https://doi.org/10.1007/BFb0030459

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64806-2

  • Online ISBN: 978-3-540-68593-7

  • eBook Packages: Springer Book Archive

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