Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/47660
Título: A cast system for visual fault detection research
Autores/as: Candela, S.
Muñoz, J. 
Garcia, C. 
Alayon, F. 
Clasificación UNESCO: 120304 Inteligencia artificial
Fecha de publicación: 1992
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 2ND INTERNATIONAL WORKSHOP ON COMPUTER AIDED SYSTEMS THEORY - EUROCAST 91 
2nd International Workshop on Computer Aided Systems Theory, EUROCAST 1991 
Resumen: Building a theoretical model, an analytical model and an equivalent neuronal net to solve the fault detection problem, permits to define a formal frame work, from CAST, CAD, and CAM techniques, which permit to try several resolution methods and to make an appropriate assessment of the results. This model, first intended to detect faults in leather, can be generalized to a large number of problems related to quality control in automatic chain production.
URI: http://hdl.handle.net/10553/47660
ISBN: 978-3-540-55354-0
ISSN: 0302-9743
DOI: 10.1007/BFb0021031
Fuente: Pichler F., Díaz R.M. (eds) Computer Aided Systems Theory — EUROCAST '91. EUROCAST 1991. Lecture Notes in Computer Science, vol 585. Springer, Berlin, Heidelberg
Colección:Actas de congresos
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