PREDICTION OF TURKEY'S COTTON SOCK EXPORTS TO GERMANY USING DEEP LEARNING APPROACH
Küçük Resim Yok
Tarih
2024
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Chamber of Textile Engineers
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Cotton 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.
Açıklama
Anahtar Kelimeler
cotton sock, Deep learning, export prediction, MLP neural network
Kaynak
Tekstil ve Muhendis
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
31
Sayı
135
