MODELING, OPTIMIZATION AND CONTROL OF A FCC UNIT USING NEURAL NETWORKS AND EVOLUTIONARY METHODS

This paper presents a simulation study of the use of an artificial neural network (ANN) model for control and optimization of a Fluidized-Bed Catalytic Cracking reactor-regenerator system (FCC). This case study, whose phenomenological model was validated with industrial data, is a multivariable and...

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Veröffentlicht in:	Engevista 2013-07, Vol.16 (1), p.70
Hauptverfasser:	Bispo, Vitor Diego da Silva, Silva, Elina Sandra Ramos de Lira e, Meleiro, Luiz Augusto Da Cruz
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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