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  • Tekstil ve Mühendis
  • Volume:31 Issue:135
  • Prediction of Turkey's cotton sock exports to Germany using deep learning approach

Prediction of Turkey's cotton sock exports to Germany using deep learning approach

Authors : Ahmet Özbek, Çağatay Teke
Pages : 174-181
Doi:10.7216/teksmuh.1486577
View : 89 | Download : 101
Publication Date : 2024-09-30
Article Type : Research Paper
Abstract :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.
Keywords : Derin Öğrenme, MLP yapay sinir ağı, pamuklu çorap, ihracat tahmini

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