Application of artificial neural network (ANN) for the prediction of thermal resistance of knitted fabrics at different moisture content

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dc.authorscopusid55070857200
dc.authorscopusid6507467535
dc.contributor.authorKanat, Zehra Evrim
dc.contributor.authorÖzdil, Nilgün
dc.date.accessioned2022-05-11T14:28:14Z
dc.date.available2022-05-11T14:28:14Z
dc.date.issued2018
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Tekstil Mühendisliği Bölümü
dc.description.abstractThermal resistance of the fabrics is one of the decisive parameters in terms of comfort; however it can change due to wetting. Therefore, thermal resistance of wetted fabric is important for comfort performance of garments. In recent years, artificial neural networks (ANN) have been used in the textile field for classification, identification, prediction of properties and optimization problems. ANNs can predict the fabric thermal properties by considering the influence of all fabric parameters at the same time. In this study, ANNs were used to predict thermal resistance of wetted fabrics. For this aim, two different architectures were experienced and high regression coefficient (R-2) between the predicted (training and testing) and observed thermal resistance values were obtained from both models. The obtained regression coefficient values were over 90% for both models. Then it can be said that ANNs could be used for predicting thermal resistance of wetted fabrics successfully.
dc.identifier.doi10.1080/00405000.2017.1423003
dc.identifier.endpage1253
dc.identifier.issn0040-5000
dc.identifier.issn1754-2340
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-85040985831
dc.identifier.scopusqualityQ2
dc.identifier.startpage1247
dc.identifier.urihttps://doi.org/10.1080/00405000.2017.1423003
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6723
dc.identifier.volume109
dc.identifier.wosWOS:000438302600016
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorKanat, Zehra Evrim
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofJournal of the Textile Institute
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectThermal resistance
dc.subjectartificial neural network
dc.subjectknitted fabric
dc.subjectmoisture content
dc.subjectprediction
dc.subjectHuman Psychological Perceptions
dc.subjectComfort Properties
dc.subjectConductivity
dc.subjectFiber
dc.subjectWoven
dc.subjectInsulation
dc.subjectLength
dc.subjectHeat
dc.subjectRing
dc.titleApplication of artificial neural network (ANN) for the prediction of thermal resistance of knitted fabrics at different moisture content
dc.typeArticle

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