@Article{AAMM-9-3,
author = {Qu, Haidong},
title = {Cosine Radial Basis Function Neural Networks for Solving Fractional Differential Equations},
journal = {Advances in Applied Mathematics and Mechanics},
year = {2017},
volume = {9},
number = {3},
pages = {667--679},
abstract = {<p style="text-align: justify;">In this paper, we first apply cosine radial basis function neural networks
to solve the fractional differential equations with initial value problems or boundary
value problems. In the examples, we successfully obtained the numerical solutions
for the fractional Riccati equations and fractional Langevin equations. The computer
graphics and numerical solutions show that this method is very effective.</p>},
issn = {2075-1354},
doi = {https://doi.org/10.4208/aamm.2015.m909},
url = {https://global-sci.com/article/73270/cosine-radial-basis-function-neural-networks-for-solving-fractional-differential-equations}
}