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Hybrid intelligence methods for modeling the diffusivity of light hydrocarbons in bitumen

Authors
  • Rajabi Kuyakhi, Hossein1
  • Zarenia, Omid2
  • Tahmasebi Boldaji, Ramin3
  • 1 Department of Chemical Engineering, University of Guilan, Rasht, 41996-13769, Iran
  • 2 Department of Electrical Engineering, University of Guilan, Rasht, Iran
  • 3 Department of Chemical Engineering, College of Engineering, University of Isfahan, P O. Box 81746-73441, Isfahan, Iran
Type
Published Article
Journal
Heliyon
Publisher
Elsevier
Publication Date
Sep 17, 2020
Volume
6
Issue
9
Identifiers
DOI: 10.1016/j.heliyon.2020.e04936
PMID: 32995622
PMCID: PMC7502588
Source
PubMed Central
Keywords
Disciplines
  • Research Article
License
Unknown

Abstract

Chemical engineering; Energy; Petroleum Engineering; Multidisciplinary Design Optimization; Artificial Neural Networks; diffusivity; Bitumen; solvent; Adaptive neuro-fuzzy interference system; particle swarm optimization; Genetic Algorithm.

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