INTELLIGENT COMPUTING PARADIGM FOR SECOND-GRADE FLUID IN A ROTATING FRAME IN A FRACTAL POROUS MEDIUM

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dc.authoridRaja, Muhammad Asif Zahoor/0000-0001-9953-822X
dc.authoridKanan, Mohammad/0000-0003-0526-0015
dc.contributor.authorKanan, Mohammad
dc.contributor.authorUllah, Habib
dc.contributor.authorRaja, Muhammad Asif Zahoor
dc.contributor.authorFiza, Mehreen
dc.contributor.authorUllah, Hakeem
dc.contributor.authorShoaib, Muhammad
dc.contributor.authorAkgul, Ali
dc.date.accessioned2024-12-24T19:29:43Z
dc.date.available2024-12-24T19:29:43Z
dc.date.issued2023
dc.departmentSiirt Üniversitesi
dc.description.abstractThe numerical methods such as the artificial neural networks with greater probability and nonlinear configurations are more suitable for estimation and modeling of the problem parameters. The numerical methods are easy to use in applications as these methods do not require costly and time-consuming tests like the experimental study. In this study, we use the Levenberg-Marquardt-based backpropagation Process (LMP) to create a computing paradigm that makes use of the strength of artificial neural networks (ANN), known as (ANN-LMP). Here we use the ANN-LMP to obtain the solution of the second-grade fluid in a rotating frame in a porous material with the impact of a transverse magnetic field. The 1000 data set points in the interval [0, 1] are used for the network training to determine the effect of various physical parameters of the flow problem under consideration. The experiment is executed of six scenarios with different physical paramaters. ANN-LMP is used for evaluating the mean square errors (MSE), training (TR), validation (VL), testing (TT), performance (PF) and fitting (FT) of the data. The problem has been verified by error histograms (EH) and regression (RG) measurements, which show high consistency with observed solutions with accuracy ranging from E-5 to E-8. Characteristics of various concerned parameters on the velocity and temperature profiles are studied.
dc.identifier.doi10.1142/S0218348X23401758
dc.identifier.issn0218-348X
dc.identifier.issn1793-6543
dc.identifier.issue8
dc.identifier.scopus2-s2.0-85175456636
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1142/S0218348X23401758
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7219
dc.identifier.volume31
dc.identifier.wosWOS:001069855500006
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWorld Scientific Publ Co Pte Ltd
dc.relation.ispartofFractals-Complex Geometry Patterns and Scaling in Nature and Society
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.subjectANN-LMP
dc.subjectSecond-grade Fluid
dc.subjectPorous Medium
dc.subjectIntelligent Computing
dc.subjectError Histogram
dc.subjectRegression Analysis
dc.titleINTELLIGENT COMPUTING PARADIGM FOR SECOND-GRADE FLUID IN A ROTATING FRAME IN A FRACTAL POROUS MEDIUM
dc.typeArticle

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