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dc.contributor.authorGürkan Ünal, Pelin
dc.contributor.authorÖzdil, Nilgün
dc.date.accessioned2022-05-11T14:27:01Z
dc.date.available2022-05-11T14:27:01Z
dc.date.issued2015
dc.identifier.issn1222-5347
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6689
dc.description.abstractYarn diameter is one of the most important properties that influence several properties of end products like cover factor, appearance and handle properties of the fabrics. In this study, it was aimed to analyse yarn diameter of cotton ring spun yarns with regard to the cotton fibre properties by using regression and artificial neural network models. Obtained equations and networks also compared with the yarn diameter of cotton ring spun yarns, which was developed by Peirce (1937). The results show that obtained regression equation gives good estimation of yarn diameter compared to Peirce's equation.en_US
dc.language.isoengen_US
dc.publisherInst Natl Cercetare-Dezvoltare Textile Pielarie-Bucurestien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcotton ring spun yarnsen_US
dc.subjectyarn diameteren_US
dc.subjectregressionen_US
dc.subjectartificial neural networken_US
dc.subjectBreaking Elongationen_US
dc.subjectTensile Propertiesen_US
dc.subjectLinear-Regressionen_US
dc.subjectPredictionen_US
dc.subjectModelsen_US
dc.titleAnalysis of cotton ring spun yarn diameter using regression and artificial neural networken_US
dc.typearticleen_US
dc.relation.ispartofIndustria Textilaen_US
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Tekstil Mühendisliği Bölümüen_US
dc.identifier.volume66en_US
dc.identifier.issue6en_US
dc.identifier.startpage317en_US
dc.identifier.endpage321en_US
dc.institutionauthorGürkan Ünal, Pelin
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid6507467535
dc.authorscopusid55102823400
dc.authorwosidUnal, Pelin Gurkan/ABA-6570-2020
dc.authorwosidÜnal, Pelin Gürkan/ABF-8759-2020
dc.identifier.wosWOS:000368320000001en_US
dc.identifier.scopus2-s2.0-84971378295en_US


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