Demand Forecasting Methods in Accommodation Establishments: A Research with Artificial Neural Networks
As it being seen in every sector, demand forecasting in tourism is been conducted with various qualitative and quantitative methods. In recent years, artificial neural network models, which have been developed as an alternative to these forecasting methods, give the nearest values in forecasting wit...
Main Authors: | , |
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Format: | Article |
Language: | Turkish |
Published: |
Sidas Medya
2018-05-01
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Series: | Journal of Travel and Hospitality Management |
Subjects: | |
Online Access: | http://dergipark.gov.tr/soid |