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Prediction of industrial debutanizer column compositions using data-driven ANFIS- and ANN-based approaches
Authors:Fatima  Syeda Anmol  Ramli  Nasser  Taqvi  Syed Ali Ammar  Zabiri  Haslinda
Affiliation:1.Chemical Engineering Department, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malaysia
;2.Centre for Process System Engineering, Institute of Autonomous System, Universiti Teknologi PETRONAS, 32610, Bandar Seri Iskandar, Perak, Malaysia
;3.CO2 Research Center (CO2RES), Universiti Teknologi PETRONAS, 32610, Bandar Seri Iskandar, Perak, Malaysia
;4.Department of Chemical Engineering, NED University of Engineering and Technology, Karachi, Pakistan
;
Abstract:Neural Computing and Applications - The work in this paper is based on an industrial debutanizer column in a petroleum refinery located in Malaysia, which produces LPG (liquefied petroleum gas) as...
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