Knowledge-based hydraulic model calibration

被引：0

作者：

Vidal, JP ^{[1
]}

Moisan, S

Faure, JB

机构：

[1] Hydrol Hydraul Res Unit, Lyon, France

[2] INRIA Sophia Antipolis, Sophia Antipolis, France

来源：

KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS | 2003年 / 2773卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：676 / 683

页数：8

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