Modelling the effects of mixing ratio and temperature on the thermal conductivity of GNP-Alumina hybrid nanofluids: A comparison of ANN, RSM, and linear regression methods

This research aimed to evaluate and compare the efficacy of three distinct methods for forecasting the thermal conductivity of GNP-Alumina hybrid nanofluids. The methods under consideration were artificial neural network (ANN), response surface methodology (RSM), and linear regression (LR). The pred...

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Detalles Bibliográficos
Autores principales: Borode, Adeola, Olubambi, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466917/
https://www.ncbi.nlm.nih.gov/pubmed/37654458
http://dx.doi.org/10.1016/j.heliyon.2023.e19228

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10466917/
https://www.ncbi.nlm.nih.gov/pubmed/37654458
http://dx.doi.org/10.1016/j.heliyon.2023.e19228

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