A novel design of inverse multiquadric radial basis neural networks to analyze MHD nanofluid boundary layer flow past a wedge embedded in a porous medium under the influence of radiation and viscous effects

The current study explores a new direction of research in which the magnetohydrodynamic (MHD) effects on two-dimensional nanofluid boundary layer flow under the influence of radiation are investigated in a porous medium using inverse multiquadric (IMQ) radial basis neural networks (RBNNs) i.e. IMQ-R...

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Vydané v:	International communications in heat and mass transfer Ročník 140; s. 106516
Hlavní autori:	Butt, Zeeshan Ikram, Ahmad, Iftikhar, Shoaib, Muhammad, Ilyas, Hira, Raja, Muhammad Asif Zahoor
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2023
Predmet:	Artificial neural networks Genetic algorithm Inverse multiquadric Magnetohydrodynamics Nanofluid Radial basis function Sequential quadratic programming Radial basis function Magnetohydrodynamics Sequential quadratic programming Nanofluid Genetic algorithm Artificial neural networks Inverse multiquadric
ISSN:	0735-1933, 1879-0178
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