Solving high order ordinary differential equations with radial basis function networks
Article
Article Title | Solving high order ordinary differential equations with radial basis function networks |
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ERA Journal ID | 187 |
Article Category | Article |
Authors | |
Author | Mai-Duy, Nam |
Journal Title | International Journal for Numerical Methods in Engineering |
Journal Citation | 62 (6), pp. 824-852 |
Number of Pages | 29 |
Year | 2005 |
Place of Publication | Bognor Regis, West Sussex. United Kingdom |
ISSN | 0029-5981 |
1097-0207 | |
Digital Object Identifier (DOI) | https://doi.org/10.1002/nme.1220 |
Web Address (URL) | http://www3.interscience.wiley.com/cgi-bin/fulltext/109802500/PDFSTART |
Abstract | This paper is concerned with the application of radial basis function networks (RBFNs) for numerical solution of high order ordinary differential equations (ODEs). Two unsymmetric RBF collocation schemes, namely the usual direct approach based on a differentiation process and the proposed indirect approach based on an integration process, are developed to solve high order ODEs directly and the latter is found to be considerably superior to the former. Good accuracy and high rate of convergence are obtained with the proposed indirect method. |
Keywords | approximation; high order; derivatives; ordinary differential equations |
ANZSRC Field of Research 2020 | 490303. Numerical solution of differential and integral equations |
490409. Ordinary differential equations, difference equations and dynamical systems | |
490101. Approximation theory and asymptotic methods | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | University of Sydney |
https://research.usq.edu.au/item/9y420/solving-high-order-ordinary-differential-equations-with-radial-basis-function-networks
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