Open AccessField Dependent-Shear Stress Prediction of Magnetorheological Fluid Using an Optimum Extreme Learning Machine Model
Author(s) -
Irfan Bahiuddin,
Saiful Amri Mazlan,
Mohd Ibrahim Shapiai,
Nur Azmah Nordin,
Fitrian Imaduddin,
Ubaidillah Ubaidillah,
Dimas Adiputra
Publication year - 2020
Publication title -
journal of advanced research in fluid mechanics and thermal sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.247
H-Index - 13
ISSN - 2289-7879
DOI - 10.37934/arfmts.70.2.8996
Subject(s) - magnetorheological fluid , shear stress , extreme learning machine , field (mathematics) , shear (geology) , stress field , materials science , mechanics , computer science , artificial intelligence , engineering , physics , structural engineering , composite material , mathematics , finite element method , artificial neural network , damper , pure mathematics
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