PREDICTION OF TURKEY'S COTTON SOCK EXPORTS TO GERMANY USING DEEP LEARNING APPROACH

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dc.contributor.authorÖzbek, Ahmet
dc.contributor.authorTeke, Çağatay
dc.date.accessioned2026-02-28T12:09:13Z
dc.date.available2026-02-28T12:09:13Z
dc.date.issued2024
dc.departmentBayburt Üniversitesi
dc.description.abstractCotton socks are a strategic export product for Turkey. Therefore, the aim of this study is to forecast Turkey's exports to Germany, the world's largest cotton socks market. In order to achieve this objective, the determinants of exports were identified by analysing the literature. Then, expert opinion was sought to determine the importance of these factors for Turkey's cotton socks exports to Germany. Using the deep learning model created from the factors determined as a result of the expert opinion, the prediction of the export of Turkish socks to Germany was realised. A success rate of 96% was achieved with the prediction. © (2023), (Chamber of Textile Engineers). All Rights Reserved.
dc.identifier.doi10.7216/teksmuh.1486577
dc.identifier.endpage181
dc.identifier.issn13007599
dc.identifier.issue135
dc.identifier.scopus2-s2.0-85206971342
dc.identifier.scopusqualityQ4
dc.identifier.startpage174
dc.identifier.trdizinid1268165
dc.identifier.urihttps://doi.org/10.7216/teksmuh.1486577
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1268165
dc.identifier.urihttps://hdl.handle.net/20.500.12403/5882
dc.identifier.volume31
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherChamber of Textile Engineers
dc.relation.ispartofTekstil ve Muhendis
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20260218
dc.subjectcotton sock
dc.subjectDeep learning
dc.subjectexport prediction
dc.subjectMLP neural network
dc.titlePREDICTION OF TURKEY'S COTTON SOCK EXPORTS TO GERMANY USING DEEP LEARNING APPROACH
dc.title.alternativeTÜRKİYE'NİN ALMANYA'YA PAMUKLU ÇORAP İHRACATININ DERİN ÖĞRENME YAKLAŞIMI İLE TAHMİNİ
dc.typeArticle

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