Carregant...
Tipus de document
Document de treballData de publicació
Llicència de publicació
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/62346
Regional Forecasting with Support Vector Regressions: The Case of Spain
Títol de la revista
Director/Tutor
ISSN de la revista
Títol del volum
Recurs relacionat
Resum
This study attempts to assess the forecasting accuracy of Support Vector Regression (SVR) with regard to other Artificial Intelligence techniques based on statistical learning. We use two different neural networks and three SVR models that differ by the type of kernel used. We focus on international tourism demand to all seventeen regions of Spain. The SVR with a Gaussian kernel shows the best forecasting performance. The best predictions are obtained for longer forecast horizons, which suggest the suitability of machine learning techniques for medium and long term forecasting.
Citació
Citació
CLAVERÍA GONZÁLEZ, Óscar, MONTE MORENO, Enric, TORRA PORRAS, Salvador. Regional Forecasting with Support Vector Regressions: The Case of Spain. _IREA – Working Papers_. 2015. Vol. IR15/07. [consulta: 23 de gener de 2026]. ISSN: 2014-1254. [Disponible a: https://hdl.handle.net/2445/62346]