Numerical solution of boundary value problems using artificial neural networks and harmony search

Neha Yadav, Thi Thuy Ngo, Anupam Yadav, Joong Hoon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, we present an algorithm based on artificial neural networks (ANNs) and harmony search (HS) for the numerical solution of boundary value problems (BVPs), which evolves in most of the science and engineering applications. An approximate trial solution of the BVPs is constructed in terms of ANN in a way that it satisfies the desired boundary conditions of the differential equation (DE) a utomatically. Approximate satisfaction of the trial solution results in an unsupervised error, which is minimized by training ANN using the harmony search algorithm (HSA). A BVP modeling the flow of a stretching surface is considered here as a test problem to validate the accuracy, convergence and effectiveness of the proposed algorithm. The obtained results are compared with the available exact solution also to test the correctness of the algorithm.

Original languageEnglish
Title of host publicationHarmony Search Algorithm - Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
EditorsJavier Del Ser
PublisherSpringer Verlag
Pages112-118
Number of pages7
ISBN (Print)9789811037276
DOIs
Publication statusPublished - 2017
EventProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017 - Bilbao, Spain
Duration: 2017 Feb 222017 Feb 24

Publication series

NameAdvances in Intelligent Systems and Computing
Volume514
ISSN (Print)2194-5357

Other

OtherProceedings of the 3rd International Conference on Harmony Search Algorithm, ICHSA 2017
Country/TerritorySpain
CityBilbao
Period17/2/2217/2/24

Bibliographical note

Funding Information:
This work was supported by a grant from the National Research Foundation (NRF) of Korea, funded by the Korean government (MSIP) under grant number NRF-2016R1A2A1A05005306, and a Brain Korea 21 (BK-21) fellowship from the Ministry of Education of Korea.

Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2017.

Keywords

  • Approximate solution
  • Artificial neural network
  • Boundary value problems
  • Differential equations
  • Harmony search algorithm

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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