Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4637326 | Applied Mathematics and Computation | 2006 | 7 Pages |
Abstract
In this paper, a new method using radial basis function (RBF) networks is presented for solving the linear second kind integral equations of Fredholm and Volterra types. This method employs a growing neural network as the approximate solution of the integral equations, whose the activation functions are RBFs. The parameters (weights, centers and widths) of the approximate solution are adjusted by using an unconstrained optimization problem. Numerical results show that our method has the potentiality to become an efficient approach for solving integral equations.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
A. Golbabai, S. Seifollahi,