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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Veröffentlicht in:	Journal of Radiation Research and Applied Sciences Jg. 18; H. 4; S. 102046
Hauptverfasser:	Abbas, Munawar, Medani, Mohamed, Elaissi, Samira, Adnan OTHMAN, Nashwan, Zayani, Hafedh Mahmoud, Shafique, Muhammad, Khan, Ilyas, Ben Khedher, Nidhal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2025
Schlagworte:	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
Online-Zugang:	Volltext
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