Stochastic numerical treatment for solving Falkner–Skan equations using feedforward neural networks

• Main Authors: Ahmad, Iftikhar, Ahmad, Siraj-ul-Islam, Bilal, Muhammad Qamar, Anwar, Nabeela
• Format: Article
• Language: English; English
• Published: Springer London 2017
• Subjects: GA Mathematical geography. Cartography
• Online Access: http://umpir.ump.edu.my/id/eprint/20424/1/Stochastic%20Numerical%20Treatment%20for%20Solving%20Falkner%E2%80%93Skan%20Equations%20Using%20Feedforward%20Neural%20Networks.pdf; http://umpir.ump.edu.my/id/eprint/20424/2/Stochastic%20Numerical%20Treatment%20for%20Solving%20Falkner%E2%80%93Skan%20Equations%20Using%20Feedforward%20Neural%20Networks%201.pdf; http://umpir.ump.edu.my/id/eprint/20424/; https://link.springer.com/article/10.1007/s00521-016-2427-0
• Institution: Universiti Malaysia Pahang

In this article, the artificial intelligence techniques have been used for the solution of Falkner–Skan (FS) equations based on neural networks optimized with three methods including active set technique, sequential quadratic programming and genetic algorithms (GA) hybridization. Log-sigmoid activat...