Supervised Learning Algorithm to Study the Magnetohydrodynamic Flow of a Third Grade Fluid for the Analysis of Wire Coating

In the present study, modeling of intelligent numerical computing through Levenberg–Marquardt back propagation-based supervised neural network (LMB-SNN) is incorporated to analyze the magnetohydrodynamic flow of a third grade fluid for wire coating analysis (MHD-TGFWCA). The original mathematical fo...

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Detalles Bibliográficos
Autores principales: Aljohani, Jawaher Lafi, Alaidarous, Eman Salem, Raja, Muhammad Asif Zahoor, Alhothuali, Muhammed Shabab, Shoaib, Muhammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Research Article-Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479500/
https://www.ncbi.nlm.nih.gov/pubmed/34603928
http://dx.doi.org/10.1007/s13369-021-06212-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479500/
https://www.ncbi.nlm.nih.gov/pubmed/34603928
http://dx.doi.org/10.1007/s13369-021-06212-3

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