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 |
Visitas
104
actualizado el 10-feb-2024
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.