Estimation of Turkey and Germany's furniture foreign trade using Artificial Neural Networks.
Yazarlar (3)
Muhammet Esat Özdağ
Dr. Öğr. Üyesi Murat YEŞİLKAYA Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Yıldız Çabuk Tokat Gaziosmanpaşa Üniversitesi
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
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| Makale Dili | – | Basım Tarihi | 01-2017 |
| Cilt / Sayı / Sayfa | 19 / 2 / 136–143 | DOI | 10.5555/20183099517 |
| Makale Linki | https://www.cabidigitallibrary.org/doi/full/10.5555/20183099517 | ||
| UAK Araştırma Alanları |
Yöneylem Araştırması
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| Özet |
| In this study, the furniture foreign trade (export and import) between Turkey and Germany was estimated between the years 2017-2023. Artificial Neural Networks (ANN) was utilized as the method. Artificial Neural Networks (ANN) was utilized as the method. The selected independent variables were the populations of countries, Gross Domestic Products (GDP) and real exchange rates while the sector export-import and time were used as dependent variables. 16-year data set obtained was grouped into two as test and training in this study and it was aimed to enable the network to gain the best coefficients with 5000 iteration and make the closest estimations on the test data. The results show that the artificial neural networks are an efficient estimation method for furniture foreign trade. These results are aimed to make predictions for the future plans for furniture industry between two countries. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
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| Google Scholar | 4 |