NDLI: Modélisation de connaissances « métier » pour le paramétrage d’un Système Flou d’identification de défauts sur des planches de bois

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Modélisation de connaissances « métier » pour le paramétrage d’un Système Flou d’identification de défauts sur des planches de bois

Content Provider	Semantic Scholar
Author	Mazaud, Cyril Bombardier, Vincent Lhoste, Pascal Vogrig, Raphaël
Copyright Year	2006
Abstract	Modelisation de connaissances « metier » pour le parametrage d’un Systeme Flou d’identification de defauts sur des planches de bois. CYRIL MAZAUD1, 3 , VINCENT BOMBARDIER1 , PASCAL LHOSTE2 et RAPHAEL VOGRIG3 1 Centre de Recherche en Automatique de Nancy (CRAN), CNRS, UMR 7039, Faculte des Sciences – Bd des Aiguillettes – BP 239 – 54506 Vandœuvre les nancy Cedex 2 Ecole Nationale Superieure en Genie des Systemes Industriels de l’ Institut National Polytechnique de Lorraine (ENS- GSI-INPL), 8 rue Bastien Lepage – BP 647 – 54010 NANCY Cedex 3 LuxScan Technologies, ZARE Ouest – L 4384 Ehlerange – Luxembourg vincent.bombardier@cran.uhp-nancy.fr, cyril.mazaud@cran.uhp-nancy.fr, Pascal.Lhoste@ensgsi.inpl-nancy.fr, vogrig@luxscan.lu RESUME Cet article expose une demarche de modelisation et d’integration de connaissances expertes issues de deux domaines d’expertise visant a ameliorer un systeme de reconnaissance de defauts sur des planches de bois. Les domaines d’expertise concernes sont le metier du bois et la vision industrielle. L’extraction et la modelisation de ces connaissances sont basees sur la methode NIAM et le formalisme ORM,
File Format	PDF HTM / HTML
Volume Number	2006
Alternate Webpage(s)	https://www.see.asso.fr/bitcache/b851a84b8debd2775aed88dcd75ce303507324ea?disposition=attachment&op=download&vid=33908
Alternate Webpage(s)	https://www.see.asso.fr/en/printpdf/19971/landing
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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