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dc.contributor.authorYılmaz, Melek
dc.contributor.authorŞengül, Metin Y.
dc.contributor.authorGeçkinli, Melih
dc.date.accessioned2019-06-28T11:11:45Z
dc.date.available2019-06-28T11:11:45Z
dc.date.issued2005
dc.identifier.issn13030914
dc.identifier.urihttps://hdl.handle.net/20.500.12469/1687
dc.identifier.urihttps://dergipark.org.tr/tr/download/article-file/99016
dc.identifier.urihttps://app.trdizin.gov.tr/publication/paper/detail/TmpFMU5qazUen_US
dc.description.abstractIn this work a basic inverse heat conduction problem of a simple 2-D model with steady state heat source is taken into view. The physical problem is for a square region with uniform thermophysical properties and a point heat source of unit magnitude. To obtain boundary data temperature probes are placed at the midpoints of the sides of the square domain. The objective of the inverse problem is to estimate the coordinates of the point source with the least amount of data. Initially the inverse problem is analyzed to determine the main causes that render the problem ill conditioned. As for the solution among the methods that has been tried so far the best results are obtained from a backpropagating ANN with four-probe data. When white Gaussian noise is added to the measurements no catastrophic failure has been observed.
dc.language.isoEnglish
dc.publisherIstanbul University
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial neural networks
dc.subjectInverse heat conduction problem
dc.subjectPoisson equation
dc.subjectSelf organizing maps
dc.titleOn the inverse point-source problem of the poisson equation
dc.typeArticle
dc.identifier.startpage1395
dc.identifier.endpage1401
dc.relation.journalIstanbul University - Journal of Electrical and Electronics Engineering
dc.identifier.issue2
dc.identifier.volume5
dc.contributor.khasauthorYılmaz, Melek


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