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Multiple-input multiple-output vs. single-input single-output neural network forecasting
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 | 2020-07-09T11:29:21Z |
dc.date.available | 2020-07-09T11:29:21Z |
dc.date.issued | 2015-07-09 |
dc.identifier.citation | Claveria, O.; Monte, E.; Torra Porras, S. "Multiple-input multiple-output vs. single-input single-output neural network forecasting". 2015. |
dc.identifier.uri | http://hdl.handle.net/2117/192726 |
dc.description | Working Papers |
dc.description.abstract | This study attempts to improve the forecasting accuracy of tourism demand by using the existing common trends in tourist arrivals form all visitor markets to a specific destination in a multiple-input multiple-output (MIMO) structure. While most tourism forecasting research focuses on univariate methods, we compare the performance of three different Artificial Neural Networks in a multivariate setting that takes into account the correlations in the evolution of inbound international tourism demand to Catalonia (Spain). We find that the MIMO approach does not outperform the forecasting accuracy of the networks when applied country by country, but it significantly improves the forecasting performance for total tourist arrivals. When comparing the forecast accuracy of the different models, we find that radial basis function networks outperform multilayer-perceptron and Elman networks. |
dc.format.extent | 28 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 | Tourism demand |
dc.subject.other | Multiple-input multiple-output |
dc.subject.other | Radial basis function networks |
dc.subject.other | Multilayer-perceptron |
dc.subject.other | Elman networks |
dc.title | Multiple-input multiple-output vs. single-input single-output neural network forecasting |
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/2015/201502.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 28852267 |
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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