| dc.contributor.author | Mutuk H. | |
| dc.date.accessioned | 2020-06-21T09:04:59Z | |
| dc.date.available | 2020-06-21T09:04:59Z | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 1370-4621 | |
| dc.identifier.uri | https://doi.org/10.1007/s11063-019-10184-9 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12712/2197 | |
| dc.description.abstract | In 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. © 2020, Springer Science+Business Media, LLC, part of Springer Nature. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.isversionof | 10.1007/s11063-019-10184-9 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Artificial neural network | en_US |
| dc.subject | Blasius equation | en_US |
| dc.subject | Boundary layer problem | en_US |
| dc.title | A Neural Network Study of Blasius Equation | en_US |
| dc.type | article | en_US |
| dc.contributor.department | OMÜ | en_US |
| dc.identifier.volume | 51 | en_US |
| dc.identifier.issue | 3 | en_US |
| dc.identifier.startpage | 2179 | en_US |
| dc.identifier.endpage | 2194 | en_US |
| dc.relation.journal | Neural Processing Letters | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
