Research project
DPI2007-61090
Aplicación de técnicas de Data Mining a la calificación inteligente de parámetros de calidad en bobinas de acero a la entrada de una linea de galvanizado en caliente
Financed by MINISTERIO DE ECONOMIA Y COMPETITIVIDAD
Duration of the 01 of October of 2007 to 30 of September of 2010
Researchers
Joaquín Bienvenido
Ordieres Mere
Responsable
Publications related to the project
Show by pub type2012
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Modelling a skin-pass rolling process by means of data mining techniques and finite element method
Journal of Iron and Steel Research International
2010
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Comparison of models created for the prediction of the mechanical properties of galvanized steel coils
Journal of Intelligent Manufacturing
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Optimum model for predicting temperature settings on hot dip galvanising line
Ironmaking and Steelmaking
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A data-driven manufacturing support system for rubber extrusion lines
International Journal of Production Research
2009
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Minería de datos aplicada a la mejora de procesos de extrusión de elastómeros
Claudia Barreto Cabrera
2008
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Hierarchical Clustering of Sub-Populations with a dissimilarity based on the likelihood ratio statis
Pattern Analysis and Applications
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Development and comparative analysis of tropospheric ozone prediction models using linear and artificial intelligence-based models in Mexicali, Baja California (Mexico) and Calexico, California (US)
Environmental Modelling & Software
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Finite volume modeling of the non-isothermal flow of a non-Newtonian fluid in a rubber's extrusion die
Journal of Non-Crystalline Solids
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Finite element analysis of the hyper-elastic contact problem in automotive door sealing
Journal of Non-Crystalline Solids