Evolutionary computational intelligence in solving a class of nonlinear Volterra–Fredholm integro-differential equations

Bothayna S.H. Kashkaria, Muhammed I. Syam

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

In this paper, a stochastic computational intelligence technique for solving a class of nonlinear Volterra–Fredholm integro-differential equations with mixed conditions is presented. The strength of feed forward artificial neural networks is used to accurately model the integro-equation. Comparisons with the exact solution and other numerical techniques are presented to show the efficiency of the proposed method. Theoretical and numerical results are presented. Analysis for the presented method is given.

Original languageEnglish
Pages (from-to)314-323
Number of pages10
JournalJournal of Computational and Applied Mathematics
Volume311
DOIs
Publication statusPublished - Feb 1 2017

Keywords

  • Artificial neural network
  • Computational intelligence
  • Volterra–Fredholm integro-differential equations

ASJC Scopus subject areas

  • Computational Mathematics
  • Applied Mathematics

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