Thermal conductivity prediction of nano enhanced phase change materials: A comparative machine learning approach
Thermal conductivity is one of the crucial properties of nano enhanced phase change materials (NEPCM). Then, in this study three different machine learning methods namely MARS (Multivariate Adaptive Regression Spline), CART (Classification and Regression Tree) and ANN (Artificial Neural Network) is...
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| Format: | Article |
| Language: | English English |
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Elsevier Ltd
2022
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| Online Access: | http://umpir.ump.edu.my/id/eprint/33890/1/Thermal%20conductivity%20prediction%20of%20nano%20enhanced%20phase%20change%20materials.pdf http://umpir.ump.edu.my/id/eprint/33890/2/Thermal%20conductivity%20prediction%20of%20nano%20enhanced%20phase%20change%20materials_FULL.pdf |