Cargando…
Intelligent computing through neural networks for numerical treatment of non-Newtonian wire coating analysis model
In the current study, a modern implementation of intelligent numerical computational solver introduced using the Levenberg Marquardt algorithm based trained neural networks (LMA-TNN) to analyze the wire coating system (WCS) for the elastic-viscous non-Newtonian Eyring–Powell fluid (EPF) with the imp...
Autores principales: | Aljohani, Jawaher Lafi, Alaidarous, Eman Salem, Raja, Muhammad Asif Zahoor, Shoaib, Muhammad, Alhothuali, Muhammed Shabab |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8079422/ https://www.ncbi.nlm.nih.gov/pubmed/33907238 http://dx.doi.org/10.1038/s41598-021-88499-8 |
Ejemplares similares
-
Supervised Learning Algorithm to Study the Magnetohydrodynamic Flow of a Third Grade Fluid for the Analysis of Wire Coating
por: Aljohani, Jawaher Lafi, et al.
Publicado: (2021) -
Intelligent computing technique based supervised learning for squeezing flow model
por: Almalki, Maryam Mabrook, et al.
Publicado: (2021) -
Design of Gudermannian Neuroswarming to solve the singular Emden–Fowler nonlinear model numerically
por: Sabir, Zulqurnain, et al.
Publicado: (2021) -
Integrated intelligent computing application for effectiveness of Au nanoparticles coated over MWCNTs with velocity slip in curved channel peristaltic flow
por: Raja, Muhammad Asif Zahoor, et al.
Publicado: (2021) -
Numerical simulation of non-Newtonian flow
por: Crochet, MJ, et al.
Publicado: (1984)