Effects of Feature Selection Using Binary Particle Swarm Optimization on Wheat Variety Classification

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dc.contributor.authorBabalık, Ahmet
dc.contributor.authorBaykan, Ömer Kaan
dc.contributor.authorİşcan, Hazim
dc.contributor.authorBabaoğlu, İsmail
dc.contributor.authorFındık, Oğuz
dc.date.accessioned2020-03-26T17:48:14Z
dc.date.available2020-03-26T17:48:14Z
dc.date.issued2010
dc.departmentSelçuk Üniversitesien_US
dc.description4th International Conference on Advances in Information Technology (IAIT) -- NOV 04-05, 2010 -- Bangkok, THAILANDen_US
dc.description.abstractIn this article, classification of wheat varieties is aimed with the help of multiclass support vector machines (M-SVM) and binary particle swarm optimization (BPSO) algorithm. For each wheat kernel, 9 geometric and 3 color features are obtained from the digital images which are belong to 5 wheat type. Wheat types are classified using M-SVM. In order to increase the reliability of the classification process, 2 fold cross validation approach is implemented and this process repeated 250 times. Average classification accuracy is obtained as 91.5%. With the aim of increasing the classification accuracy and decreasing the process time, descriptive features are decreased by BPSO algorithm and reduced from 12 to 7. Average of classification accuracy is obtained as 92.02% using 7 features obtained from reduction with BPSO.en_US
dc.description.sponsorshipKing Mongkuts Univ Technol Thonburi, Sch Informat Technolen_US
dc.identifier.citationBabalık, A., Baykan, Ö. K., İşcan, H., Babaoğlu, İ., Fındık, O., (2010). Effects of Feature Selection Using Binary Particle Swarm Optimization on Wheat Variety Classification. Advances in Information Technology, (114), 11-17.
dc.identifier.endpage17en_US
dc.identifier.isbn978-3-642-16698-3
dc.identifier.issn1865-0929en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage11en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/24848
dc.identifier.volume114en_US
dc.identifier.wosWOS:000288365600002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBabalık, Ahmet
dc.institutionauthorBaykan, Ömer Kaan
dc.institutionauthorİşcan, Hazim
dc.institutionauthorBabaoğlu, İsmail
dc.institutionauthorFındık, Oğuz
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlinen_US
dc.relation.ispartofAdvances in Information Technologyen_US
dc.relation.ispartofseriesCommunications in Computer and Information Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectBinary particle swarm optimizationen_US
dc.subjectSupport vector machineen_US
dc.subjectWheat classificationen_US
dc.titleEffects of Feature Selection Using Binary Particle Swarm Optimization on Wheat Variety Classificationen_US
dc.typeConference Objecten_US

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