TY - JOUR A2 - Syam, Muhammed I. AU - Almarashi, Adel A. S. PY - 2012 DA - 2011/12/27 TI - Approximation Solution of Fractional Partial Differential Equations by Neural Networks SP - 912810 VL - 2012 AB - Neural networks with radial basis functions method are used to solve a class of initial boundary value of fractional partial differential equations with variable coefficients on a finite domain. It takes the case where a left-handed or right-handed fractional spatial derivative may be present in the partial differential equations. Convergence of this method will be discussed in the paper. A numerical example using neural networks RBF method for a two-sided fractional PDE also will be presented and compared with other methods. SN - 1687-9562 UR - https://doi.org/10.1155/2012/912810 DO - 10.1155/2012/912810 JF - Advances in Numerical Analysis PB - Hindawi Publishing Corporation KW - ER -