Semi-automatic Maintenance of Regression Models: an Application in the Steel Industry

Software applications used in the controlling and planning of production processes commonly make use of predictive statistical models. Changes in the process involve a more or less regular need for updating the prediction models on which the operational software applications are based. The objective...

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Veröffentlicht in:	Journal of computing and information technology 2011-09, Vol.19 (3), p.193-206
Hauptverfasser:	JUUTILAINEN, Ilmari, TUOVINEN, Lauri, LAURINEN, Perttu, KOSKIMÄKI, Heli, RÖNING, Juha
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Computer science control theory systems data analysis Electronic data processing Exact sciences and technology Forming maintenance system Mechanical engineering. Machine design Mechanical properties Metals. Metallurgy model updating Prediction theory predictive modelling Production management Production techniques Rolling Software software architecture Software engineering Steel industry Technology application
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Beschreibung
Zusammenfassung:	Software applications used in the controlling and planning of production processes commonly make use of predictive statistical models. Changes in the process involve a more or less regular need for updating the prediction models on which the operational software applications are based. The objective of this article is
ISSN:	1330-1136 1846-3908
DOI:	10.2498/cit.1001113