Soft computing paradigm for Ferrofluid by exponentially stretched surface in the presence of magnetic dipole and heat transfer

In the presented research article, the intelligence based numerical computation of artificial neural network backpropagated with Levenberg-Marquardt algorithm has been developed to analyze the novel ferrofluid flow model in the presence of magnetic dipole. Heat transfer effects are also incorporated...

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Autores principales: Muhammad Shoaib, Muhammad Asif Zahoor Raja, Imrana Farhat, Zahir Shah, Poom Kumam, Saeed Islam
Formato: article
Lenguaje:EN
Publicado: Elsevier 2022
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Acceso en línea:https://doaj.org/article/412f9164756247569760ba7861fa23fd
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