Methodology based on genetic optimisation to develop overall parsimony models for predicting temperature settings on annealing furnace

Developing better prediction models is crucial for the steelmaking industry to improve the continuous hot dip galvanising line (HDGL). This paper presents a genetic based methodology whereby a wrapper based scheme is optimised to generate overall parsimony models for predicting temperature set point...

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Veröffentlicht in:	Ironmaking & steelmaking 2014-02, Vol.41 (2), p.87-98
Hauptverfasser:	Sanz-García, A., Fernández-Ceniceros, J., Fernández-Martínez, R., Martínez-de-Pisón, F. J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Annealing furnace Artificial intelligence Genetic algorithms Hot dip galvanising line Overall models Parsimony criterion
Online-Zugang:	Volltext
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