Model calibration is an essential step in physical process modelling. This paper describes an approach for model calibration support that combines heuristics and optimisation methods. In our approach, knowledge-based techniques have been used to complement standard numerical modelling ones in order to help end-users of simulation codes. We have both identified the knowledge involved in the calibration task and developed a prototype for calibration support dedicated to river hydraulics. We intend to rely on a generic platform to implement artificial intelligence tools dedicated to this task.
CITATION STYLE
Vidal, J. P., Moisan, S., & Faure, J. B. (2003). Knowledge-based hydraulic model calibration. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2773 PART 1, pp. 676–683). Springer Verlag. https://doi.org/10.1007/978-3-540-45224-9_92
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