Artificial neural network optimized by Bayesian-regularization algorithm to solve the convective flow of trihybrid nanofluid with LTNECs and thermal radiation

The aim of this study is to examine an artificial intelligence neural network based on the Intelligent Bayesian-Regularization optimizer to evaluate the effect of thermal radiation on the trihybrid nanofluid inside a stenotic artery with LTNECs (local thermal non-equilibrium conditions). The built n...

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Vydáno v:	Journal of Radiation Research and Applied Sciences Ročník 18; číslo 4; s. 102046
Hlavní autoři:	Abbas, Munawar, Medani, Mohamed, Elaissi, Samira, Adnan OTHMAN, Nashwan, Zayani, Hafedh Mahmoud, Shafique, Muhammad, Khan, Ilyas, Ben Khedher, Nidhal
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2025
Témata:	Activation energy Convective conditions Local thermal non-equilibrium conditions Stenotic artery Trihybrid nanofluid Trihybrid nanofluid Stenotic artery Convective conditions Activation energy Local thermal non-equilibrium conditions
ISSN:	1687-8507
On-line přístup:	Získat plný text
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