EVALUATION OF ELECTROMAGNETIC FILTRATION EFFICIENCY USING LEAST SQUARES SUPPORT VECTOR MODEL

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dc.authoridAbbasov, Tahmuraz/0000-0002-0290-8333
dc.authoridYuceer, Mehmet/0000-0002-2648-3931
dc.authorwosidYıldız, Zehra/AAR-4168-2020
dc.authorwosidAbbasov, Tahmuraz/ABG-8739-2020
dc.authorwosidYuceer, Mehmet/E-5110-2012
dc.contributor.authorYuceer, Mehmet
dc.contributor.authorYildiz, Zehra
dc.contributor.authorAbbasov, Teymuraz
dc.date.accessioned2024-08-04T20:40:07Z
dc.date.available2024-08-04T20:40:07Z
dc.date.issued2015
dc.departmentİnönü Üniversitesien_US
dc.description.abstractThe present study aims to apply a least squares support vector model (LS-SVM) for predicting cleaning efficiency of an electromagnetic filtration process, also called quality factor, in order to remove corrosion particles (rust) of low concentrations from water media. For this purpose, three statistical parameters: correlation coefficient, root mean squared error and mean absolute percentage error were calculated for evaluating the performance of the LS-SVM model. It was found that the developed LS-SVM can be used to predict the effectiveness of electromagnetic filtration process.en_US
dc.identifier.doi10.5277/ppmp150116
dc.identifier.endpage180en_US
dc.identifier.issn1643-1049
dc.identifier.issn2084-4735
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-84924121264en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage173en_US
dc.identifier.urihttps://doi.org/10.5277/ppmp150116
dc.identifier.urihttps://hdl.handle.net/11616/96702
dc.identifier.volume51en_US
dc.identifier.wosWOS:000352493800016en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherOficyna Wydawnicza Politechniki Wroclawskiejen_US
dc.relation.ispartofPhysicochemical Problems of Mineral Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectelectromagnetic filtrationen_US
dc.subjectdisperse systemsen_US
dc.subjectsupport vector machineen_US
dc.titleEVALUATION OF ELECTROMAGNETIC FILTRATION EFFICIENCY USING LEAST SQUARES SUPPORT VECTOR MODELen_US
dc.typeArticleen_US

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