Methodological advances in artificial neural networks for time series forecasting

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dc.citation.journalTitleIeee Latin America Transactionseng
dc.contributor.authorCogollo, M. R.
dc.contributor.authorVelasquez, J. D.
dc.contributor.departmentUniversidad EAFIT. Escuela de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.date.accessioned2021-04-12T14:07:10Z
dc.date.available2021-04-12T14:07:10Z
dc.date.issued2014-06-01
dc.description.abstractObjective: The aim of this paper is to analyze the development of new forecasting models based on neural networks. Method: We used the systematic literature review method employing a manual search of papers published on new neural networks models in the time period 2000 to 2010. Results: Only 18 studies meet all the requirements of the inclusion criteria. Of these, only three proposals considered a neural networks model using a process different to the autoregressive. Conclusion: Although studies relating to the application of neural network models were frequently present, we find that the studies proposing new forecasting models based on neural networks with a theoretical support and a systematic procedure for the construction of model, were scarce in the time period 2000-2010. © 2012 IEEE.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=1262
dc.identifier.doi10.1109/TLA.2014.6868881
dc.identifier.issn15480992
dc.identifier.otherWOS;000341576900031
dc.identifier.otherSCOPUS;2-s2.0-84905750098
dc.identifier.urihttp://hdl.handle.net/10784/27754
dc.language.isospaeng
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84905750098&doi=10.1109%2fTLA.2014.6868881&partnerID=40&md5=dc85270a748cb5bc2d01f6b0bce567ff
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1548-0992
dc.sourceIeee Latin America Transactions
dc.subject.keywordNeural networkseng
dc.subject.keywordTime serieseng
dc.subject.keywordANFISeng
dc.subject.keywordARIMAeng
dc.subject.keywordConstruction of modelseng
dc.subject.keywordNeural network modeleng
dc.subject.keywordNeural networks modeleng
dc.subject.keywordNonlinear time serieseng
dc.subject.keywordSystematic literature revieweng
dc.subject.keywordTime series forecastingeng
dc.subject.keywordForecastingeng
dc.titleMethodological advances in artificial neural networks for time series forecastingeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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