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Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/14256
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dc.contributor.authorLagaris, I. E.en
dc.contributor.authorLikas, A. C.en
dc.contributor.authorPapageorgiou, D. G.en
dc.date.accessioned2015-11-24T17:36:31Z-
dc.date.available2015-11-24T17:36:31Z-
dc.identifier.issn1045-9227-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/14256-
dc.rightsDefault Licence-
dc.subjectboundary value problemsen
dc.subjectengineering problemsen
dc.subjectirregular boundariesen
dc.subjectneural networksen
dc.subjectpartial differential equations (pdes)en
dc.subjectpenalty methoden
dc.subjectmultilayer perceptronen
dc.subjectradial basis function (rbf) networksen
dc.subjectmultilayer feedforward networksen
dc.subjectoptimizationen
dc.subjectsystemen
dc.titleNeural-network methods for boundary value problems with irregular boundariesen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.secondary<Go to ISI>://000089508300001-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Επιστήμης Υλικώνel
heal.publicationDate2000-
heal.abstractPartial differential equations (PDEs) with boundary conditions (Dirichlet or Neumann) defined on boundaries with simple geometry hare been successfully treated using sigmoidal multilayer perceptrons in previous works. This article deals,vith the case of complex: boundary geometry, where the boundary is determined by a number of points that belong to it and are closely located, so as to offer a reasonable representation. Two networks are employed: a multilayer perceptron and a radial basis function network. The later is used to account for the exact satisfaction of the boundary conditions, The method has been successfully tested on two-dimensional and three-dimensional PDEs and has yielded accurate results.en
heal.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen
heal.journalNameIeee Transactions on Neural Networksen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
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