Prediction of Various Functional Finishing Treatments Using Artificial Neural Networks

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dc.contributor.authorNamilgoz, Eylen Sema
dc.contributor.authorCoban, Suleyman
dc.contributor.authorUnal, Pelin Gurkan
dc.date.accessioned2019-10-27T21:24:09Z
dc.date.available2019-10-27T21:24:09Z
dc.date.issued2011
dc.departmentEge Üniversitesien_US
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.en_US
dc.identifier.doi10.1007/s12221-011-0414-8
dc.identifier.endpage421en_US
dc.identifier.issn1229-9197
dc.identifier.issn1229-9197en_US
dc.identifier.issue3en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage414en_US
dc.identifier.urihttps://doi.org/10.1007/s12221-011-0414-8
dc.identifier.urihttps://hdl.handle.net/11454/44397
dc.identifier.volume12en_US
dc.identifier.wosWOS:000290739500019en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherKorean Fiber Socen_US
dc.relation.ispartofFibers and Polymersen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFinishingen_US
dc.subjectFabricen_US
dc.subjectClassificationen_US
dc.subjectMulti layer perceptronen_US
dc.titlePrediction of Various Functional Finishing Treatments Using Artificial Neural Networksen_US
dc.typeArticleen_US

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