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Comparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. II. Prediction of yarn hairiness and unevenness

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dc.contributor.authorÜreyen, Mustafa Erdem
dc.contributor.authorÜnal, Pelin Gürkan
dc.contributor.orcid0000-0002-9055-3228
dc.contributor.orcid0000-0001-8141-5627
dc.date.accessioned2025-11-13T09:55:27Z
dc.date.issued2008-02-01
dc.identifier.doi10.1007/s12221-008-0015-3
dc.identifier.endpage96
dc.identifier.issn1229-9197
dc.identifier.issue1
dc.identifier.openalexW2015734535
dc.identifier.startpage92
dc.identifier.urihttps://hdl.handle.net/11421/2610
dc.identifier.urihttps://doi.org/10.1007/s12221-008-0015-3
dc.identifier.volume9
dc.language.isoen
dc.relation.ispartofFibers and Polymers
dc.rightsrestrictedAccess
dc.subjectYarn
dc.subjectArtificial neural network
dc.subjectLinear regression
dc.subjectRegression analysis
dc.subjectPredictive modelling
dc.subjectRegression
dc.subjectMaterials science
dc.subjectMean squared prediction error
dc.subjectStatistics
dc.subjectMathematics
dc.subjectArtificial intelligence
dc.subjectComputer science
dc.subjectComposite material
dc.titleComparison of artificial neural network and linear regression models for prediction of ring spun yarn properties. II. Prediction of yarn hairiness and unevenness
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5084889112
local.authorid.openalexA5070361406

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