Reconstruction of the Taguchi Orthogonal Arrays with the Support Vector Machines Method

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dc.contributor.authorYazar, Selçuk
dc.date.accessioned2024-06-12T10:04:09Z
dc.date.available2024-06-12T10:04:09Z
dc.date.issued2021
dc.departmentTrakya Üniversitesien_US
dc.description.abstractDesign of Experiment (DOE) is a widely used method for examining experiments especially in industrial production and robust design processes. This method is a set of statistical approaches in which mathematical models are developed through experimental testing to estimate possible outputs and given input values or parameters. The method aims to determine the main factors that affect the results with the smallest number of experimental studies. In this study, L16 (215) orthogonal array, which was used in the Taguchi parameter design was reconstructed with the Support Vector Machines learning model and the Pearson VII kernel function. With this model, array elements were successfully classified in 87.04%. The new and original array were compared and 3.8% difference was measured between their Signal to Noise (S / N) ratios in an exemplary experiment.en_US
dc.identifier.doi10.17694/bajece.839449
dc.identifier.endpage137en_US
dc.identifier.issn2147-284X
dc.identifier.issue2en_US
dc.identifier.startpage129en_US
dc.identifier.trdizinid471666en_US]
dc.identifier.urihttps://doi.org/10.17694/bajece.839449
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/471666
dc.identifier.urihttps://hdl.handle.net/20.500.14551/12658
dc.identifier.volume9en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofBalkan Journal of Electrical and Computer Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleReconstruction of the Taguchi Orthogonal Arrays with the Support Vector Machines Methoden_US
dc.typeArticleen_US

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