Yapay Sinir Ağları İle Talep Tahmini: Otomobil Satışları İçin Ysa Uygulaması


Akman G. , Boyacı A. İ. , Atay E. B. , Sayar A. H.

International CEO Social sciences Congress, Gorazhde, Bosnia And Herzegovina, 18 - 20 December 2020, pp.5-10

  • Publication Type: Conference Paper / Summary Text
  • City: Gorazhde
  • Country: Bosnia And Herzegovina
  • Page Numbers: pp.5-10

Abstract

Demand is the amount of service or good that consumers are willing to buy at the specified price level. Demand estimation is the calculation of the demand for a product or service in the future. In this study, automobile sales are predicted by using artificial neural networks method. MALTAB R2020a program was used to create artificial neural networks. While determining the variables affecting automobile sales, macro indicators were taken into consideration. These independent variables are economic confidence index, gross domestic product, consumer confidence index, exchange rate (dollar), real sector confidence index, fixed capital investment expenditure and time. The dependent variable is automobile sales. Monthly data between January-2014 and May-2020 were used in the study. In the study, the average absolute percentage of error (MAPE) value was 19.78% and it is included in the correct estimates class.