Author/Authors
KARAHAN, Mehmet Dicle Üniversitesi - İktisadi Ve İdari Bilimler Fakültesi - İşletme Bölümü, Turkey
Title Of Article
Forecasting Amount of Export Demand with Artificial Neural Networks Method: A Comparative Analysis of ARIMA and ANN
شماره ركورد
44481
Abstract
Decision-making is the requirement of all businesses in the future to maintain and improve the existing situation to predict future events and are required to produce appropriate solutions within the framework of a good plan. The purpose of the forecast, businesses may face situations in the future to predict before, using different data and techniques to enable measures to be taken before. In this study, using artificial neural network model from statistical techniques to forecast demand, product of dried apricots belong to Malatya exports was applied to forecast demand. According to the results of the error test, the model is reliable and consistent.
From Page
165
NaturalLanguageKeyword
Production Planning , Demand , Forecasting , ANN
JournalTitle
Ege Academic Review (EAR)
To Page
172
JournalTitle
Ege Academic Review (EAR)
Link To Document