1. GENİŞ EKONOMİK GRUPLARIN İHRACAT DEĞERİNİN YAPAY SİNİR AĞLARI YÖNTEMİYLE TAHMİNLENMESİ.
- Author
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TEKİN, Tahsin Galip
- Subjects
- *
ARTIFICIAL neural networks , *VALUE (Economics) , *ARTIFICIAL intelligence , *WEBSITES , *CONSUMER goods - Abstract
In this study, it is aimed to estimate the monthly export values of broad economic categories belonging to Turkey's foreign trade. Broad economic categories discussed in the study: Investment goods, raw materials and consumer goods. Relevant monthly export values are estimated by artificial neural networks method, which is an artificial intelligence technique. Artificial neural network method analyzes were carried out using the MATLAB 2013 package program. The data used in the study were taken from the web pages of the Central Bank of the Republic of Turkey. According to the results obtained, the artificial neural network models established to predict the export values of three different large economic groups made the most successful estimation in the estimation of the export value of consumer goods. Although the artificial neural network models established for the estimation of the export value of raw materials and the export value of investment goods show close estimation performances, the model established for the estimation of the export value of investment goods has been more successful. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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