Intelligent Computing with Levenberg–Marquardt Backpropagation Neural Networks for Third-Grade Nanofluid Over a Stretched Sheet with Convective Conditions

This article discussed the influence of activation energy on MHD flow of third-grade nanofluid model (MHD-TGNFM) along with the convective conditions and used the technique of backpropagation in artificial neural network using Levenberg–Marquardt technique (BANN-LMT). The PDEs representing (MHD-TGNF...

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Veröffentlicht in:	Arabian journal for science and engineering (2011) 2022, Vol.47 (7), p.8211-8229
Hauptverfasser:	Shoaib, Muhammad, Raja, Muhammad Asif Zahoor, Zubair, Ghania, Farhat, Imrana, Nisar, Kottakkaran Sooppy, Sabir, Zulqurnain, Jamshed, Wasim
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Back propagation Back propagation networks Biot number Chemical reactions Engineering Error analysis Hartmann number Histograms Humanities and Social Sciences Magnetohydrodynamic flow Mechanical Engineering multidisciplinary Nanofluids Neural networks Numerical methods Parameters Prandtl number Regression analysis Research Article-Mechanical Engineering Schmidt number Science
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