Rheological properties of SWCNT/EG mixture by a new developed optimization approach of LS-support vector regression according to empirical data

DOI10.1016/J.PHYSA.2019.03.065OpenAlexW2932847128MaRDI QIDQ2159657

Mahfouz Rostamzadeh, Pham Van Trinh, Seyed Amin Bagherzadeh, Amin Shahsavar, Jalal Alsarraf, Minh-Duc Tran

Publication date: 2 August 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2019.03.065

zbMATH Keywords

empirical resultsartificial neural networksupport vector regressionnanofluid properties

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Cites Work

• Multilayer feedforward networks are universal approximators

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