Representation and control of the cold rolling process through artificial neural networks via sensitivity factors

Journal of Materials Processing Technology

Volumn 197, Issue 1-3, 2008, Pages 344-362

  Zárate, Luis E ^a   Bittencout, Fabrício R ^a  

^a PONTIFICAL CATHOLIC UNIVERSITY OF MINAS GERAIS   (Brazil)

Author keywords

Cold rolling process; Neural networks; Predictive model; Steel industry; Virtual sensor

Indexed keywords

COMPUTATIONAL METHODS; IRON AND STEEL INDUSTRY; MATHEMATICAL MODELS; NEURAL NETWORKS; NONLINEAR EQUATIONS; PARAMETER ESTIMATION; PROCESS CONTROL; SENSITIVITY ANALYSIS; SENSORS;

COLD ROLLING PROCESSES; PREDICTIVE MODELS; VIRTUAL SENSORS;

COLD ROLLING;

EID: 37048998533     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2007.06.063     Document Type: Article

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