Deri̇n Si̇ni̇r Ağlari Kullanarak Türki̇ye’deki̇ Otomobi̇l Satişlarinin Tahmi̇ni̇ İçi̇n Bi̇r Model
Year: 2020
Type: article
Abstract: Demand prediction in the supply chain process, which is the driving force in all decisions, is one of the most essential components of the supply chain process.Prediction of future goods and services is the starting point of all other predictions and provides the primary entry to all other functions.In this study, an 8-layer Deep Neural Network (DNN) model was recommended for automobile sales prediction.The inputs of the model consist of features, such as the exchange rate, the gross domestic product, consumer confidence index, and the consumer price index.The automobile sales prediction was made according to the output of the model.We analyzed a total of 90 data on a monthly basis between the years of 2011 and 2018 was collected.Obtained results show that this approach can be used on various sales prediction problems.
Source: DergiPark (Istanbul University)
Authors: Kayapınar Kaya, Sema, Yıldırım, Özal
Institution: Munzur University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W4297744463