Optimization of distribution control system in oil refinery by applying hybrid machine learning techniques

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Optimization of distribution control system in oil refinery by applying hybrid machine learning techniques

In this research, prediction of crude oil cuts from the first stage of refining process field is laid out using rough set theory (RST) based adaptive neuro-fuzzy inference system (ANFIS) soft sensor model to enhance the performance of oil refinery process. The RST was used to reduce the fuzzy rule...

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Bibliographic Details
Main Authors:	Al Jlibawi, Ali Hussein Humod, Othman, Mohammad Lutfi, Ishak, Aris, Moh Noor, Bahari S., Al Huseiny, M. Sattar Sajitt
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2021
Online Access:	http://psasir.upm.edu.my/id/eprint/94458/

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