Prediction of Various Functional Finishing Treatments Using Artificial Neural Networks

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dc.authorid0000-0002-2463-6885
dc.authorid0000-0001-8141-5627
dc.authorscopusid23489986400
dc.authorscopusid24502872900
dc.authorscopusid55102823400
dc.authorwosidÜnal, Pelin Gürkan/ABF-8759-2020
dc.authorwosidDalbaşı, Eylen Sema/AAA-5102-2021
dc.authorwosidUnal, Pelin Gurkan/ABA-6570-2020
dc.contributor.authorNamlıgöz, Eylen Sema
dc.contributor.authorÇoban, Süleyman
dc.contributor.authorGürkan Ünal, Pelin
dc.date.accessioned2022-05-11T14:26:57Z
dc.date.available2022-05-11T14:26:57Z
dc.date.issued2011
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Tekstil Mühendisliği Bölümü
dc.description.abstractIn this study, in order to produce different water-oil repellent and wrinkle resistant fabrics, 21 different kinds of blended woven fabrics were treated (padded and transfered) with both classic and nano chemicals according to 4 different levels of concentrations. Afterwards, water, oil repellency and wrinkle angle recovery properties of the fabrics were measured. The purpose of this study is to predict these aforementioned functional properties of the fabrics before manufacturing based on the fabric blend, treatment method, used chemicals and chemical concentrations with the help of multi layer perceptron, one of the most popular network architecture. As a result of the study, it can be concluded that multi layer perceptron method can also be used for the classification problems successfully.
dc.identifier.doi10.1007/s12221-011-0414-8
dc.identifier.endpage421
dc.identifier.issn1229-9197
dc.identifier.issn1875-0052
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-79958060663
dc.identifier.scopusqualityQ2
dc.identifier.startpage414
dc.identifier.urihttps://doi.org/10.1007/s12221-011-0414-8
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6664
dc.identifier.volume12
dc.identifier.wosWOS:000290739500019
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorGürkan Ünal, Pelin
dc.language.isoen
dc.publisherKorean Fiber Soc
dc.relation.ispartofFibers and Polymers
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFinishing
dc.subjectFabric
dc.subjectClassification
dc.subjectMulti layer perceptron
dc.subjectLinear-Regression Models
dc.subjectSpun Yarn Properties
dc.subjectBreaking Elongation
dc.subjectStrength
dc.subjectFabrics
dc.titlePrediction of Various Functional Finishing Treatments Using Artificial Neural Networks
dc.typeArticle

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