A hybrid statistical approach for modeling and optimization of RON: a comparative study and combined application of response surface methodology (RSM) and artificial neural network (ANN) based on design of experiment (DOE)

A hybrid statistical approach for modeling and optimization of RON: a comparative study and combined application of response surface methodology (RSM) and artificial neural network (ANN) based on design of experiment (DOE)

The main purpose of catalytic reforming unit is to upgrade low-octane naphtha to high-octane gasoline. In this work, the estimation capacities of the response surface methodology (RSM) and artificial neural network (ANN), to determine the research octane number (RON) of reformates produced from the...

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Bibliographic Details
Main Author: Elfghi, F. M.
Format: Article
Published: Institution of Chemical Engineers 2016
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/71565/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982225597&doi=10.1016%2fj.cherd.2016.05.023&partnerID=40&md5=67512941adf829960fc54896d42213ff
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Institution: Universiti Teknologi Malaysia

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http://eprints.utm.my/id/eprint/71565/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84982225597&doi=10.1016%2fj.cherd.2016.05.023&partnerID=40&md5=67512941adf829960fc54896d42213ff

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