Publication
Forecasting of a non-seasonal tourism time series with ANN
dc.contributor.author | Teixeira, João Paulo | |
dc.contributor.author | Fernandes, Paula Odete | |
dc.date.accessioned | 2018-04-09T15:40:21Z | |
dc.date.available | 2018-04-09T15:40:21Z | |
dc.date.issued | 2014 | |
dc.description.abstract | The paper present and discusses several alternative architectures of Artificial Neural Network models used to predict the time series of tourism demand for Cape Verde. This time series is particularly difficult to predict due to its non-seasonal characteristic usual in a similar time series for European Tourism destinations. The time index used as input and other input parameters variations improved the performance of the prediction over the test set to a relative error of 7.3% and a Pearson correlation coefficient of 0.92. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Teixeira, João Paulo; Fernandes, Paula O. (2014). Forecasting of a non-seasonal tourism time series with ANN. In 1st International Work-Conference on Time Series (ITISE). Granada | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10198/16825 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | ANN | pt_PT |
dc.subject | Forecast | pt_PT |
dc.subject | Non-seasonal time series | pt_PT |
dc.subject | Tourism | pt_PT |
dc.subject | Cape Verde | pt_PT |
dc.title | Forecasting of a non-seasonal tourism time series with ANN | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Granada | pt_PT |
oaire.citation.endPage | 734 | pt_PT |
oaire.citation.startPage | 724 | pt_PT |
oaire.citation.title | 1st International Work-Conference on Time Series (ITISE) | pt_PT |
person.familyName | Teixeira | |
person.familyName | Fernandes | |
person.givenName | João Paulo | |
person.givenName | Paula Odete | |
person.identifier | 663194 | |
person.identifier | N-3804-2013 | |
person.identifier.ciencia-id | 4F15-B322-59B4 | |
person.identifier.ciencia-id | 991D-9D1E-D67D | |
person.identifier.orcid | 0000-0002-6679-5702 | |
person.identifier.orcid | 0000-0001-8714-4901 | |
person.identifier.rid | N-6576-2013 | |
person.identifier.scopus-author-id | 57069567500 | |
person.identifier.scopus-author-id | 35200741800 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | 33f4af65-7ddf-46f0-8b44-a7470a8ba2bf | |
relation.isAuthorOfPublication | 2269147c-2b53-4d1c-bc1b-f1367d197262 | |
relation.isAuthorOfPublication.latestForDiscovery | 2269147c-2b53-4d1c-bc1b-f1367d197262 |
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