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 em...
| Published in: | JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS |
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| Main Authors: | , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
ELSEVIER
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001288820800001 |