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Tourism demand modeling and forecasting with artificial neural models: the Mozambique case study

dc.contributor.authorConstantino, Hortêncio
dc.contributor.authorFernandes, Paula Odete
dc.contributor.authorTeixeira, João Paulo
dc.date.accessioned2018-04-10T14:35:46Z
dc.date.available2018-04-10T14:35:46Z
dc.date.issued2015
dc.description.abstractThis study aimed to model and forecast the tourism demand for Mozambique for the period from January 2004 to December 2013 using Artificial Neural Networks models. The number of overnight stays in Hotels was used as representative of the tourism demand. This variable was used as the output of the model.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationConstantino, Hortêncio; Fernandes, Paula O.; Teixeira, João Paulo (2015). Tourism demand modeling and forecasting with artificial neural models: the Mozambique case study. In Congresso Internacional de Turismo, 2015. Guimarãespt_PT
dc.identifier.urihttp://hdl.handle.net/10198/16947
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectModelingpt_PT
dc.subjectForecastingpt_PT
dc.subjectTourism demandpt_PT
dc.subjectArtificial neural networkspt_PT
dc.subjectMozambiquept_PT
dc.titleTourism demand modeling and forecasting with artificial neural models: the Mozambique case studypt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceGuimarãespt_PT
oaire.citation.titleCongresso Internacional de Turismo, 2015pt_PT
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.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication2269147c-2b53-4d1c-bc1b-f1367d197262
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf

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