A Neural Network Study of Blasius Equation
NEURAL PROCESSING LETTERS, vol.51, no.3, pp.2179-2194, 2020 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 51 Issue: 3
- Publication Date: 2020
- Doi Number: 10.1007/s11063-019-10184-9
- Journal Name: NEURAL PROCESSING LETTERS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, Information Science and Technology Abstracts, INSPEC, zbMATH, DIALNET
- Page Numbers: pp.2179-2194
- Keywords: Boundary layer problem, Blasius equation, Artificial neural network, PERIODIC-SOLUTIONS, STABILITY, ALGORITHM, FLOW
- Open Archive Collection: AVESIS Open Access Collection
- Ondokuz Mayıs University Affiliated: Yes
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.