Approximate Solutions of Initial Value Problems for Ordinary Differential Equations Using Radial Basis Function Networks

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dc.contributor.authorRizaner, Fatma B.
dc.contributor.authorRizaner, Ahmet
dc.date.accessioned2026-02-06T18:34:34Z
dc.date.issued2018
dc.departmentDoğu Akdeniz Üniversitesi
dc.description.abstractWe present a numerical approach for the approximate solutions of first order initial value problems (IVP) by using unsupervised radial basis function networks. The proposed unsupervised method is able to solve IVPs with high accuracy. In order to demonstrate the efficiency of the proposed approach, we also compare its solutions with the solutions obtained by a previously proposed neural network method for representative examples.
dc.identifier.doi10.1007/s11063-017-9761-9
dc.identifier.endpage1071
dc.identifier.issn1370-4621
dc.identifier.issn1573-773X
dc.identifier.issue2
dc.identifier.orcid0000-0001-8419-5308
dc.identifier.orcid0000-0003-4935-5382
dc.identifier.scopus2-s2.0-85035364164
dc.identifier.scopusqualityQ2
dc.identifier.startpage1063
dc.identifier.urihttps://doi.org/10.1007/s11063-017-9761-9
dc.identifier.urihttps://hdl.handle.net/11129/11861
dc.identifier.volume48
dc.identifier.wosWOS:000446501500020
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofNeural Processing Letters
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260204
dc.subjectInitial value problems
dc.subjectOrdinary differential equations
dc.subjectRadial basis function network
dc.subjectArtificial neural networks
dc.subjectFunction approximation
dc.titleApproximate Solutions of Initial Value Problems for Ordinary Differential Equations Using Radial Basis Function Networks
dc.typeArticle

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