Hydroisomerisation and hydrocracking of n-heptane: modelling and optimisation using a hybrid Artificial Neural Network–Genetic Algorithm (ANN–GA)

Al-Zaidi, B.Y. orcid.org/0000-0003-2253-2772, Al-Shathr, A. orcid.org/0000-0002-1375-9302, Shehab, A.K. et al. (4 more authors) (2023) Hydroisomerisation and hydrocracking of n-heptane: modelling and optimisation using a hybrid Artificial Neural Network–Genetic Algorithm (ANN–GA). Catalysts, 13 (7). 1125. ISSN 2073-4344

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Keywords: n-heptane; Pt/HY-HZSM-5 zeolite catalyst; hydroisomrisation; hydrocracking; octane number; artificial neural network; optimisation; genetic algorithm
Dates:
  • Accepted: 14 April 2023
  • Published (online): 19 July 2023
  • Published: 19 July 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Chemical and Biological Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 19 Jul 2023 14:22
Last Modified: 19 Jul 2023 14:22
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: https://doi.org/10.3390/catal13071125

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