Open AccessSolving fuzzy volterra-fredholm integral equation by fuzzy artificial neural network
Author(s) -
Seiyed Hadi Abtahi,
Hamidreza Rahimi,
Maryam Mosleh
Publication year - 2021
Publication title -
mathematical foundations of computing
Language(s) - English
Resource type - Journals
ISSN - 2577-8838
DOI - 10.3934/mfc.2021013
Subject(s) - fuzzy logic , artificial neural network , fredholm integral equation , volterra integral equation , integral equation , benchmark (surveying) , mathematics , computer science , differential equation , artificial intelligence , mathematical optimization , mathematical analysis , geodesy , geography
The volterra-fredholm integral equation in all forms are arose from physics, biology and engineering problems which is derived from differential equation modelling. On the other hand, the trained programming algorithm by the fuzzy artificial neural networks has effective solution to find the best answer. In this article we try to estimate the equation and its answer by developed fuzzy artificial neural network to fuzzy volterra-fredholme integral. Our attempts would lead to benchmark other extended forms of this type of equation.