An intelligence parameter classification approach for energy storage and natural convection and heat transfer of nano-encapsulated phase change material: Deep neural networks
A deep neural network is utilized to classify the parameters of a natural convection heat transfer of a nano-encapsulated phase change material suspension using the isotherm images for the first time. A natural convection flow and heat transfer simulation dataset were created and used as a training...
| Published in: | Neural computing and applications Vol. 35, № 27. P. 19719-19727 |
|---|---|
| Other Authors: | Ghalambaz, Mohammad, Edalatifar, Mohammad, Maryamnegar, Sara Moradi, Sheremet, Mikhail A. |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001133658 |
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