Application of the neural networks for modeling the molten steel level variation in the continuous casting process

Type : Article de conférence
Auteur(s) :  K. Gherfi, S. Bouhouche
Année :  2011
Domaine : Automatique
Conférence: 3rd INTERNATIONAL CONFERENCE ON CONTROL AND OPTIMIZATION WITH INDUSTRIAL APPLICATIONS (COIA 2011)
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  modeling, continuous casting, neural networks

Résumé : 

In this paper our principal study is the development of a model of synthesis presents the variation of the molten steellevel in the ingot mould of continuous casting by using the extraction speed in the input of the model. The approach usedis based on the neural networks technique which allows modeled the process of level variation, and also makes it possibleto know the reliability of the neural networks the modeling the industrial processes.