Neural Network Modeling for Forecasting Tourism Demand in Stopi\'{c}a Cave: A Serbian Cave Tourism Study

For modeling the number of visits in Stopi\'{c}a cave (Serbia) we consider the classical Auto-regressive Integrated Moving Average (ARIMA) model, Machine Learning (ML) method Support Vector Regression (SVR), and hybrid NeuralPropeth method which combines classical and ML concepts. The most accu...

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Veröffentlicht in:	arXiv.org 2024-04
Hauptverfasser:	Buda Bajić, Milićević, Srđan, Antić, Aleksandar, Marković, Slobodan, Tomić, Nemanja
Format:	Artikel
Sprache:	eng
Schlagworte:	Autoregressive models Carrying capacity Caves Demand Machine learning Modelling Neural networks Statistical analysis Support vector machines Tourism
Online-Zugang:	Volltext
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