TY  - JOUR
TI  - ESTIMATING THE OCCUPANCY RATE OF AN ACCOMMODATION BUSINESS USING ARTIFICIAL NEURAL NETWORKS
AB  - Tourism is one of the sectors that is highly influential in countries' economy. Tourism activity can be realized for many reasons, especially for business or cultural purposes. Such as Turkey, for countries where tourism is intensively carried out, It is very important to predict tourism demand. Many reasons, such as the determination of the workforce to be employed in tourism and the determination of the accommodation infrastructure needed, have increased the efforts to estimating the demands in the tourism sector in advance. In this study, the demand for tourism is handled in terms of accommodation establishments. It is aimed to estimate the occupancy rate for a accommodation business in Sakarya. Several factors that have an effect on the occupancy rate have been detected and it has been ensured that the occupancy rate can be predicted with a high estimation rate by using artificial neural networks which are one of the artificial intelligence techniques.
AU  - YILMAZ YALÇINER, AYTEN
AU  - Gelen Mert, Mine Büşra
DO  - 10.30794/pausbed.828902
PY  - 2021
JO  - Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
VL  - 0
IS  - 47
SN  - 1308-2922
SP  - 209
EP  - 218
DB  - TRDizin
UR  - http://search/yayin/detay/462772
ER  -