TÜRKİYE'NİN ALMANYA'YA PAMUKLU ÇORAP İHRACATININ DERİN ÖĞRENME YAKLAŞIMI İLE TAHMİNİ

Yıl 2024, Cilt: 31 Sayı: 135, 174 - 181, 30.09.2024

Ahmet Özbek , Çağatay Teke

https://doi.org/10.7216/teksmuh.1486577

Öz

Pamuklu çoraplar Türkiye için stratejik bir ihraç ürünüdür. Bu nedenle, bu çalışmanın amacı Türkiye'nin dünyanın en büyük pamuklu çorap pazarı olan Almanya'ya ihracatını tahmin etmektir. Bu amaca ulaşmak için, literatür analiz edilerek ihracatın belirleyicileri tespit edilmiştir. Daha sonra, bu faktörlerin Türkiye'nin Almanya'ya pamuklu çorap ihracatı açısından önemini belirlemek için uzman görüşüne başvurulmuştur. Uzman görüşü sonucunda belirlenen faktörlerden oluşturulan derin öğrenme modeli kullanılarak Türkiye'nin Almanya'ya çorap ihracatının tahmini gerçekleştirilmiştir. Tahmin ile %96' lık bir başarı oranı elde edildi.

Anahtar Kelimeler

Derin Öğrenme, MLP yapay sinir ağı, pamuklu çorap, ihracat tahmini

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

Öz

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.

Anahtar Kelimeler

Deep learning, MLP neural network, cotton sock, export prediction

Kaynakça

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