A Numerical Solution of the Urysohn-Type Fredholm Integral Equations

Loading...

Date

Journal Title

Journal ISSN

Volume Title

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

relationships.isProjectOf

relationships.isJournalIssueOf

Abstract

In the present paper, a combination of the Bernstein polynomials and artificial neural networks (ANNs) is presented for solving the non-linear Urysohn equation. These polynomials are utilized to reduce the solution of the given problem to the solution of a system of non-linear algebraic equations. The remaining set of non-linear equations is solved numerically by using the ANNs approach to yield truncated Bernstein series coefficients a the solution function. Several illustrative examples with numerical simulations are provided to support the theoretical claims.

Description

Khalili Golmankhaneh, Alireza/0000-0002-5008-0163; , Alireza/0000-0002-3490-7976

Keywords

Urysohn-Type Fredholm Integral Equation, Bernstein Polynomials Method, Artificial Neural Networks Approach, Approximate Solution

Fields of Science

Citation

Jafarian, A...et al. (2014). "A Numerical Solution of the Urysohn-Type Fredholm İntegral Equations", Romanian Journal of Physics, Vol. 59, No. 7-8, pp. 625-635.

WoS Q

Scopus Q

Volume

59

Issue

7-8

Start Page

625

End Page

635
SCOPUS™ Citations

7

checked on May 30, 2026

Web of Science™ Citations

3

checked on May 30, 2026

Page Views

3

checked on May 30, 2026

Google Scholar Logo
Google Scholar™

Sustainable Development Goals

SDG data is not available