A novel design of Gaussian WaveNets for rotational hybrid nanofluidic flow over a stretching sheet involving thermal radiation

The aim of this study is to analysis the mass and heat transfer in radiative three dimensional flow of hybrid nanofluid over the stretchable sheet by exploiting the strength of integrated computational intelligent algorithm by utilization of Gaussian wavelet neural networks (GWNNs) trained with the...

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Vydáno v:	International communications in heat and mass transfer Ročník 123; s. 105196
Hlavní autoři:	Ilyas, Hira, Ahmad, Iftikhar, Raja, Muhammad Asif Zahoor, Shoaib, Muhammad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.04.2021
Témata:	Gaussian wavelets Genetic algorithms Hybrid nanofluid Neural networks Sequential quadratic programming Stochastic numerical computing Stretching sheet Stochastic numerical computing Sequential quadratic programming Neural networks Gaussian wavelets Stretching sheet Genetic algorithms Hybrid nanofluid
ISSN:	0735-1933, 1879-0178
On-line přístup:	Získat plný text
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