Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm

Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm

Nanofluids are now considered the most essential constituent of solar thermal collector due to their superior thermal performance over conventional fluids. An accurate determination of the thermal efficiency of the solar collector depends on the value of the specific heat capacity of the nanofluid. So far...

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Bibliographic Details
Main Authors: Ibrahim, Olanrewaju Alade, Abd Rahman, Mohd Amiruddin, A. Saleh, Tawfik
Format: Article
Language:English
Published: Elsevier 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81784/
http://psasir.upm.edu.my/id/eprint/81784/1/20201028%20-%20Predicting%20the%20specific%20heat%20capacity%20of%20alumina_ethylene%20glycol%20nanofluids%20using%20support%20vector%20regression%20model%20optimized%20with%20Bayesian%20algorithm%20.pdf

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