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Artificial neural network approach as an alternative to ridge regression on an economic problem

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dc.contributor.authorYolaçan, Şenay
dc.contributor.authorYazıcı, Berna
dc.contributor.authorAğaoğlu, Embiya
dc.contributor.orcid0000-0001-9843-7355
dc.date.accessioned2025-11-13T21:29:06Z
dc.date.issued2005-10-27
dc.identifier.openalexW2131261272
dc.identifier.urihttps://hdl.handle.net/11421/13592
dc.identifier.urihttp://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.525.5559
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectMulticollinearity
dc.subjectArtificial neural network
dc.subjectRidge
dc.subjectRegression
dc.subjectArtificial intelligence
dc.subjectComputer science
dc.subjectSet (abstract data type)
dc.subjectData set
dc.subjectRegression analysis
dc.subjectLinear regression
dc.subjectEconometrics
dc.subjectMachine learning
dc.subjectStatistics
dc.subjectMathematics
dc.subjectGeography
dc.subject.sdg8
dc.titleArtificial neural network approach as an alternative to ridge regression on an economic problem
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5111882468
local.authorid.openalexA5073288644
local.authorid.openalexA5019638510

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