Thermal conductivity prediction of titania-water nanofluid: A case study using different machine learning algorithms
In this study, the thermal conductivity of titania (TiO2)–water nanofluid was predicted using five separate machine learning algorithms with their unique hyperparameters and logical functions. A detailed comparative study on the TiO2–water nanofluid dataset was performed using the artificial neural...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-02-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X21008212 |