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A Neural Network Study of Blasius Equation

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dc.authorscopusid56027387100
dc.authorwosidMutuk, Halil/Hci-7113-2022
dc.contributor.authorMutuk, Halil
dc.date.accessioned2020-06-21T09:04:59Z
dc.date.available2020-06-21T09:04:59Z
dc.date.issued2020
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Mutuk, Halil] Ondokuz Mayis Univ, Fac Arts & Sci, Phys Dept, Samsun, Turkeyen_US
dc.description.abstractIn this work we applied a feed forward neural network to solve Blasius equation which is a third-order nonlinear differential equation. Blasius equation is a kind of boundary layer flow. We solved Blasius equation without reducing it into a system of first order equation. Numerical results are presented and a comparison according to some studies is made in the form of their results. Obtained results are found to be in good agreement with the given studies.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.1007/s11063-019-10184-9
dc.identifier.endpage2194en_US
dc.identifier.issn1370-4621
dc.identifier.issn1573-773X
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85077889983
dc.identifier.scopusqualityQ3
dc.identifier.startpage2179en_US
dc.identifier.urihttps://doi.org/10.1007/s11063-019-10184-9
dc.identifier.volume51en_US
dc.identifier.wosWOS:000538280900010
dc.identifier.wosqualityQ3
dc.institutionauthorMutuk, Halil
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofNeural Processing Lettersen_US
dc.relation.journalNeural Processing Lettersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBoundary Layer Problemen_US
dc.subjectBlasius Equationen_US
dc.subjectArtificial Neural Networken_US
dc.titleA Neural Network Study of Blasius Equationen_US
dc.typeArticleen_US
dspace.entity.typePublication

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