TURİZM TALEP TAHMİNİNİN YAPAY SİNİR AĞLARIYLA MODELLENMESİ

Abstract

The accurate and reliable demand forecasts for future are great importance for tourism sector in terms of directing resources of tourist destination to correct locations with their marketing functions. Due to the unique nature of tourism sector and its flexibility in response to demanding factors, the correct forecasting becomes even more important. For this purpose, the data for 2012-2016 regarding variables affecting the tourism demand of Turkey were collected and analyzed. Then, according to this data, 12 months of tourism demand of 2017 was estimated with Artificial Neural Networks technique. It has been seen that models obtained with artificial neural networks have better prediction results than other methods in previous studies.