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Application of support vector regression and artificial neural network for prediction of specific heat capacity of aqueous nanofluids of copper oxide

This paper presents the modelling of the specific heat capacity (SHC) of CuO/water nanofluids using a support vector regression (SVR) and artificial neural network models (ANN). The models presented were developed from the experimental data of SCH of CuO nanoparticles, the volume fractions of CuO na...

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Bibliographic Details
Main Authors:	Alade, Ibrahim Olanrewaju, Abd Rahman, Mohd Amiruddin, Abbas, Zulkifly, Yaakob, Yazid, A. Saleh, Tawfik
Format:	Article
Language:	English
Published:	Elsevier 2020
Online Access:	http://psasir.upm.edu.my/id/eprint/87915/1/ABSTRACT.pdf http://psasir.upm.edu.my/id/eprint/87915/ https://www.sciencedirect.com/science/article/pii/S0038092X19312812
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