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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020
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| 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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