Abstract
In this paper, the application of data mining and artificial intelligence techniques stemming from other problem areas to the particular case of a galvanised steel manufacturing process, is presented. The main goal is to optimise the quality control of galvanised steel by developing a predictive model of the mechanical properties according to the chemical composition and manufacturing conditions in the annealing furnace.
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