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Regional forecasting with support vector regressions: the case of Spain
dc.contributor.author | Claveria González, Oscar |
dc.contributor.author | Monte Moreno, Enrique |
dc.contributor.author | Torra Porras, Salvador |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2020-07-09T11:22:40Z |
dc.date.available | 2020-07-09T11:22:40Z |
dc.date.issued | 2015-05-06 |
dc.identifier.citation | Claveria, O.; Monte, E.; Torra Porras, S. "Regional forecasting with support vector regressions: the case of Spain". 2015. |
dc.identifier.uri | http://hdl.handle.net/2117/192724 |
dc.description | Working Paper |
dc.description.abstract | 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. |
dc.format.extent | 40 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | Economic forecasting |
dc.subject.lcsh | Artificial intelligence |
dc.subject.other | International tourism demand |
dc.subject.other | Support vector regression |
dc.subject.other | Gaussian kernel |
dc.title | Regional forecasting with support vector regressions: the case of Spain |
dc.type | External research report |
dc.subject.lemac | Previsió econòmica |
dc.subject.lemac | Intel·ligència artificial |
dc.contributor.group | Universitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla |
dc.relation.publisherversion | http://www.ub.edu/irea/working_papers/2015/201507.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 28852331 |
dc.description.version | Preprint |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//TEC2012-38939-C03-02/ES/INVESTIGACION AVANZADA EN TECNOLOGIAS DEL HABLA PARA APLICACION A ENTORNOS AUDIOVISUALES/ |
local.citation.author | Claveria, O.; Monte, E.; Torra Porras, Salvador |
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