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dc.contributor.authorMammadov, Mammadağha
dc.contributor.authorAydın, D.
dc.date.accessioned2019-10-20T09:31:35Z
dc.date.available2019-10-20T09:31:35Z
dc.date.issued2010
dc.identifier.isbn9789955285977
dc.identifier.urihttps://hdl.handle.net/11421/17735
dc.description24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010 -- 23 June 2010 through 26 June 2010 -- Izmir -- 106702en_US
dc.description.abstractThe goal of this article is to introduce the hybrid models that combine nonparametric regression and artificial neural networks. Smoothing spline, regression spline and additive regression models are considered as the nonparametric regression components. Furthermore, various multilayer perceptron algorithms and radial basis function network model are regarded as the artificial neural networks components. In the paper, we fully developed a new hybrid model where the first component is smoothing spline and the second component is multilayer perceptron. The performance of this new model is compared by forecasting two real Turkish data sets: Domestic product per capita (GDP) and the number of tourist arrivals. The results obtained by experimental evaluations show that hybrid model developed in this paper have performed much better in comparison to hybrid models discussed in the literature by othersen_US
dc.language.isoengen_US
dc.publisherVilnius Gediminas Technical Universityen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHybrid Modelsen_US
dc.subjectMultilayer Perceptronsen_US
dc.subjectRadial Basis Functionen_US
dc.subjectRegression Splineen_US
dc.subjectSmoothing Splineen_US
dc.titleForecasting with the aid of hybrid models, combining neural networks and nonparametric regression models in time seriesen_US
dc.typeconferenceObjecten_US
dc.relation.journal24th Mini EURO Conference on Continuous Optimization and Information-Based Technologies in the Financial Sector, MEC EurOPT 2010en_US
dc.contributor.departmentAnadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümüen_US
dc.identifier.startpage281en_US
dc.identifier.endpage287en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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