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dc.contributor.authorÇelik, Hüseyin Murat
dc.date.accessioned2016-06-01T08:37:32Z
dc.date.available2016-06-01T08:37:32Z
dc.date.issued2004-12
dc.identifier.citationÇelik, H. M. (2004). Forecasting interregional commodity flows using artificial neural networks: An evaluation. Transportation Planning and Technology, 27(6), 449-467. doi:10.1080/0308106042000293499en_US
dc.identifier.issn0308-1060
dc.identifier.urihttp://doi.org/10.1080/0308106042000293499
dc.identifier.urihttp://hdl.handle.net/11147/4700
dc.description.abstractPrevious studies have concluded that the use of artificial neural networks (ANNs) is a promising new technique for modelling freight distribution, supporting, the findings of other studies in the area of spatial interaction modelling. However, the forecasting performance of ANNs is still under investigation. This study tests the predictive performance of the ANN Model with respect to a Box-Cox spatial interaction model. It is concluded that the Box-Cox model outperforms ANN in forecasting interregional commodity flows even if ANN had proven calibration superiority in comparison to conventional gravity type models.en_US
dc.language.isoengen_US
dc.publisherTaylor & Francisen_US
dc.relation.isversionof10.1080/0308106042000293499en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFreight transportationen_US
dc.subjectArtificial neural networksen_US
dc.subjectCommodity flowsen_US
dc.subjectFreight transportationen_US
dc.subjectSpatial interaction modelsen_US
dc.titleForecasting interregional commodity flows using artificial neural networks: An evaluationen_US
dc.typearticleen_US
dc.contributor.authorIDTR18433en_US
dc.contributor.iztechauthorÇelik, Hüseyin Murat
dc.relation.journalTransportation Planning and Technologyen_US
dc.contributor.departmentIzmir Institute of Technology. Civil Engineeringen_US
dc.identifier.volume27en_US
dc.identifier.issue6en_US
dc.identifier.startpage449en_US
dc.identifier.endpage467en_US
dc.identifier.wosWOS:000226520700002
dc.identifier.scopusSCOPUS:2-s2.0-12244309559
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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