Stochastic Levenberg–Marquardt Neural Network Implementation for Analyzing the Convective Heat Transfer in a Wavy Fin

The present research examines the steady, one-dimensional thermal distribution and heat transfer of a wavy fin. This heat transfer analysis considers convective effects as well as temperature-dependent thermal conductivity. Furthermore, a novel implementation of a neural network with backpropagated...

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Vydané v:	Mathematics (Basel) Ročník 11; číslo 10; s. 2401
Hlavní autori:	Kumar, R. S. Varun, Alsulami, M. D., Sarris, I. E., Sowmya, G., Gamaoun, Fehmi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.05.2023
Predmet:	Air conditioning Algorithms Analysis artificial neural network Artificial neural networks Convective heat transfer Dimensionless numbers Electric properties fin Heat conductivity Heat exchangers Heat transfer Influence Investigations Machine learning Mathematics Neural networks Nonlinear differential equations Parameters Productivity Radiation Regression models Runge-Kutta method Temperature dependence temperature distribution Thermal conductivity wavy fin Wavy fins
ISSN:	2227-7390, 2227-7390
On-line prístup:	Získať plný text
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