Özbek, AhmetTeke, Çağatay2026-02-282026-02-28202413007599https://doi.org/10.7216/teksmuh.1486577https://search.trdizin.gov.tr/tr/yayin/detay/1268165https://hdl.handle.net/20.500.12403/5882Cotton 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.eninfo:eu-repo/semantics/openAccesscotton sockDeep learningexport predictionMLP neural networkArticle3113517418110.7216/teksmuh.14865772-s2.0-85206971342Q41268165