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Analysis of international debt problem using artificial neural networks and statistical methods

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dc.contributor.authorYazıcı, Berna
dc.contributor.authorMemmedli, Memmedağa
dc.contributor.authorAslanargun, Atilla
dc.contributor.authorAsma, Senay
dc.contributor.orcid0000-0001-9843-7355
dc.contributor.orcid0000-0002-9967-4237
dc.contributor.orcid0000-0002-2665-3494
dc.date.accessioned2025-11-13T12:16:35Z
dc.date.issued2010-07-11
dc.identifier.doihttps://doi.org/10.1007/s00521-010-0422-4
dc.identifier.endpage1216
dc.identifier.issn0941-0643
dc.identifier.issue8
dc.identifier.openalexW2084560817
dc.identifier.startpage1207
dc.identifier.urihttps://hdl.handle.net/11421/9520
dc.identifier.urihttps://doi.org/10.1007/s00521-010-0422-4
dc.identifier.volume19
dc.language.isoen
dc.relation.ispartofNeural Computing and Applications
dc.rightsrestrictedAccess
dc.subjectArtificial neural network
dc.subjectBackpropagation
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectProbit
dc.subjectMachine learning
dc.subjectComputational Science and Engineering
dc.subjectLogistic regression
dc.subjectMacro
dc.subjectData mining
dc.titleAnalysis of international debt problem using artificial neural networks and statistical methods
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5073288644
local.authorid.openalexA5047668983
local.authorid.openalexA5089670828
local.authorid.openalexA5011042958

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