Berber, AdnanGurdal, MehmetBagirsakci, Kazim2024-02-232024-02-2320210891-61521521-0480https://doi.org/10.1080/08916152.2020.1793826https://hdl.handle.net/20.500.12452/13097This work aims to estimate the experimental heat transfer coefficients of a circular channel using artificial neural network. The experiments are carried out at a forced turbulent flow regime of 10,000 < Re <50,000. The obtained experimental Nusselt numbers are compared using the ANN (Artificial Neural Network). In the developed ANN structure are showed mean square error (MSE), average relative deviation (ARD %), and correlation coefficient (R-2) in modeling of overall experimental datasets of Nusselt number. As a result, it is observed that the heat transfer correlation predicted by ANN are sufficiently consistent with the experimental results.eninfo:eu-repo/semantics/closedAccessHeat TransferArtificial Neural Network [Ann)Turbulent FlowPinForced ConvectionArticle3465475632-s2.0-85088295373Q1WOS:000550706700001Q110.1080/08916152.2020.1793826