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 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Elsevier Ltd
01.04.2021
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| Témata: | |
| ISSN: | 0735-1933, 1879-0178 |
| On-line přístup: | Získat plný text |
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| Abstract | 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 genetic algorithms (GAs) based global search supported with sequential quadratic programming (SQP) based local refinements i.e., GWNN-GA-SQP. The mean squared error based cost function is developed for the fluidic problem by applying Gaussian WaveNet GWNNs optimize with GAs and SQP. The numerical outcomes of the fluidic model are obtained by the proposed GWNN-GA-SQP solver to examine the thermal and velocities profile effect for three physical quantities based on magnetic parameter, nanomaterial concentration and transformated angular velocity. Moreover, a exhaustive analysis of the numerical solutions of GWNN-GA-SQP solver with reference Adams method endorse the stability, accuracy and consistency on multiple autonomous runs through different statistical performance operators and complexity analysis.
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| AbstractList | 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 genetic algorithms (GAs) based global search supported with sequential quadratic programming (SQP) based local refinements i.e., GWNN-GA-SQP. The mean squared error based cost function is developed for the fluidic problem by applying Gaussian WaveNet GWNNs optimize with GAs and SQP. The numerical outcomes of the fluidic model are obtained by the proposed GWNN-GA-SQP solver to examine the thermal and velocities profile effect for three physical quantities based on magnetic parameter, nanomaterial concentration and transformated angular velocity. Moreover, a exhaustive analysis of the numerical solutions of GWNN-GA-SQP solver with reference Adams method endorse the stability, accuracy and consistency on multiple autonomous runs through different statistical performance operators and complexity analysis.
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| ArticleNumber | 105196 |
| Author | Ilyas, Hira Raja, Muhammad Asif Zahoor Shoaib, Muhammad Ahmad, Iftikhar |
| Author_xml | – sequence: 1 givenname: Hira surname: Ilyas fullname: Ilyas, Hira email: 17016109-003@uog.edu.pk organization: Department of Mathematics, University of Gujrat, Gujrat 50700, Pakistan – sequence: 2 givenname: Iftikhar surname: Ahmad fullname: Ahmad, Iftikhar email: dr.iftikhar@uog.edu.pk organization: Department of Mathematics, University of Gujrat, Gujrat 50700, Pakistan – sequence: 3 givenname: Muhammad Asif Zahoor surname: Raja fullname: Raja, Muhammad Asif Zahoor email: rajamaz@yuntech.edu.tw organization: Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan, ROC – sequence: 4 givenname: Muhammad surname: Shoaib fullname: Shoaib, Muhammad email: dr.shoaib@cuiatk.edu.pk organization: Department of Mathematics, COMSATS University Islamabad, Attock Campus, Attock 43600, Pakistan |
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| Keywords | Stochastic numerical computing Sequential quadratic programming Neural networks Gaussian wavelets Stretching sheet Genetic algorithms Hybrid nanofluid |
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| SubjectTerms | Gaussian wavelets Genetic algorithms Hybrid nanofluid Neural networks Sequential quadratic programming Stochastic numerical computing Stretching sheet |
| Title | A novel design of Gaussian WaveNets for rotational hybrid nanofluidic flow over a stretching sheet involving thermal radiation |
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