Artificial neural network hyperparameters optimization for predicting the thermal conductivity of MXene/graphene nanofluids
Background: The critical role of thermal conductivity (TC) as a significant thermo-physical property in MXene/graphene-based nanofluids for photovoltaic/thermal systems has motivated recent research into developing precision predictive models. The multilayer perceptron neural network (MLPNN) has eme...
| Published in: | Journal of the Taiwan Institute of Chemical Engineers |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Taiwan Institute of Chemical Engineers
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200416163&doi=10.1016%2fj.jtice.2024.105673&partnerID=40&md5=817ca67518d51e0a5b1f9519b0d46ccb |