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Prediction tourism demand using artificial neural networks

dc.contributor.authorFernandes, Paula Odete
dc.contributor.authorTeixeira, João Paulo
dc.date.accessioned2009-02-05T16:18:04Z
dc.date.available2009-02-05T16:18:04Z
dc.date.issued2008
dc.description.abstractThe aim of this research is to quantify the tourism demand using an Artificial Neural Network (ANN) model. The methodology was focused in the treatment, analysis and modulation of the tourism time series: “Monthly Guest Nights in Hotels” in Northern Portugal recorded between January 1987 and December 2006, since it is one of the variables that better explain the effective tourism demand. The model used 4 neurons in the hidden layer with the logistic activation function and was trained using the Resilient Backpropagation algorithm. Each time series forecast depended on 12 preceding values. The developed model yielded acceptable goodness of fit and statistical properties and therefore it is adequate for the modulation and prediction of the reference time series.en
dc.event.date2008en
dc.event.locationPitesti, Romaniaen
dc.event.titleInternational Conference in European Union’s History, Culture and Citizenshipen
dc.event.typeConferênciaen
dc.identifier.citationFernandes, Paula O.; Teixeira, João Paulo (2008). Prediction tourism demand using artificial neural networks. In International Conference in European Union’s History, Culture and Citizenship. Pitesti, Romania. ISBN 978-973-690-764-7en
dc.identifier.urihttp://hdl.handle.net/10198/1033
dc.language.isoengen
dc.peerreviewedyesen
dc.publisherUniversity of Pitestien
dc.subjectTime seriesen
dc.subjectTourism demanden
dc.subjectArtificial neural networksen
dc.subjectPredictionen
dc.titlePrediction tourism demand using artificial neural networksen
dc.typeconference paper
dspace.entity.typePublication
person.familyNameFernandes
person.familyNameTeixeira
person.givenNamePaula Odete
person.givenNameJoão Paulo
person.identifierN-3804-2013
person.identifier663194
person.identifier.ciencia-id991D-9D1E-D67D
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0001-8714-4901
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id35200741800
person.identifier.scopus-author-id57069567500
rcaap.rightsopenAccessen
rcaap.typeconferenceObjecten
relation.isAuthorOfPublication2269147c-2b53-4d1c-bc1b-f1367d197262
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf

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