Khan, J.A. and Zahoor Raja, M.A. (2013) Artificial Intelligence based Solver for Governing Model of Radioactivity Cooling, Self-Gravitating Clouds and Clusters of Galaxies. Research Journal of Applied Sciences, Engineering and Technology, 6, 450-456.

has been cited by the following article:

• TITLE: Numerical Solution of Blasius Equation through Neural Networks Algorithm

  AUTHORS: Iftikhar Ahmad, Muhammad Bilal

  KEYWORDS: Blasius Equation, Neural Networks, Log-Sigmoid Function, Boundary Value Problems

  JOURNAL NAME: American Journal of Computational Mathematics, Vol.4 No.3, June 24, 2014

  ABSTRACT: In this paper mathematical techniques have been used for the solution of Blasius differential equation. The method uses optimized artificial neural networks approximation with Sequential Quadratic Programming algorithm and hybrid AST-INP techniques. Numerical treatment of this problem reported in the literature is based on Shooting and Finite Differences Method, while our mathematical approach is very simple. Numerical testing showed that solutions obtained by using the proposed methods are better in accuracy than those reported in literature. Statistical analysis provided the convergence of the proposed model.