Efficient Solving of Boundary Value Problems Using Radial Basis Function Networks Learned by Trust Region Method
A method using radial basis function networks (RBFNs) to solve boundary value problems of mathematical physics is presented in this paper. The main advantages of mesh-free methods based on RBFN are explained here. To learn RBFNs, the Trust Region Method (TRM) is proposed, which simplifies the proces...
Saved in:
| Main Authors: | Mohie Mortadha Alqezweeni, Vladimir Ivanovich Gorbachenko, Maxim Valerievich Zhukov, Mustafa Sadeq Jaafar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
|
| Series: | International Journal of Mathematics and Mathematical Sciences |
| Online Access: | http://dx.doi.org/10.1155/2018/9457578 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Solving Inverse Wave Problems Using Spacetime Radial Basis Functions in Neural Networks
by: Chih-Yu Liu, et al.
Published: (2025-02-01) -
Adopting the Multiresolution Wavelet Analysis in Radial Basis Functions to Solve the Perona-Malik Equation
by: A. Khatoon Abadi, et al.
Published: (2018-10-01) -
A Meshless Method Based on the Fundamental Solution and Radial Basis Function for Solving an Inverse Heat Conduction Problem
by: Muhammad Arghand, et al.
Published: (2015-01-01) -
On the boundary integral equation method of solving boundary value problems for the two dimensional Laplace equation
by: Yu. M. Sybil
Published: (2024-09-01) -
Using the spectral meshless radial basis functions method for solving time fractional Burgers’ equation
by: S. Hajiollow, et al.
Published: (2025-07-01)