Employing deep learning for predicting the thermal properties of water and nano-encapsulated phase change material
The field of thermal engineering is undergoing a transformative revolution through the application of artificial intelligence (AI). In this study, an artificial neural network (ANN) with a genetic algorithm is employed as a powerful tool to accurately predict the thermophysical properties of nano-en...
| Published in: | International Journal of Low-Carbon Technologies |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196618511&doi=10.1093%2fijlct%2fctae098&partnerID=40&md5=d030f8f4fcc6b63484f922a359bb57f3 |