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dc.creatorRodríguez-Agurto, José Nibaldo
dc.creatorBravo, Gabriel
dc.creatorBarba-Maggi, Lida
dc.date.accessioned2018-09-04T20:25:05Z
dc.date.available2018-09-04T20:25:05Z
dc.date.issued2014es_CL
dc.identifier.urihttp://hdl.handle.net/10533/219766
dc.description.abstractThis paper proposes a hybrid multi-step-ahead forecasting model based on two stages to improve pelagic fish-catch time-series modeling. In the first stage, the Fourier power spectrum is used to analyze variations within a time series at multiple periodicities, while the stationary wavelet transform is used to extract a high frequency (HF) component of annual periodicity and a low frequency (LF) component of inter-annual periodicity. In the second stage, both the HF and LF components are the inputs into a single-hidden neural network model to predict the original non-stationary time series. We demonstrate the utility of the proposed forecasting model on monthly anchovy catches time-series of the coastal zone of northern Chile (18°S-24°S) for periods from January 1963 to December 2008. Empirical results obtained for 7-month ahead forecasting showed the effectiveness of the proposed hybrid forecasting strategy. Key words: Neural network, wavelet analysis, forecasting model.es_CL
dc.language.isoeng
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relation.urihttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1870-90442014000200008&lng=es&nrm=iso&tlng=enes_CL
dc.rightsinfo:eu-repo/semantics/openAccesses_CL
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.titleHaar Wavelet Neural Network for Multi-step-ahead Anchovy Catches Forecastinges_CL
dc.typeArticulo
dc.identifier.folio1131105es_CL
dc.relation.projectidinfo:eu-repo/grantAgreement//1131105es_CL
dc.relation.setinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93477
dc.rights.driverinfo:eu-repo/semantics/openAccess
dc.title.journalPolibitses_CL
dc.type.driverinfo:eu-repo/semantics/article
dc.type.openaireinfo:eu-repo/semantics/publishedVersion


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