Epilepsy Diagnosis Using PSO based ANN

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dc.contributor.authorYalcin, Nesibe
dc.contributor.authorKarakuzu, Cihan
dc.contributor.authorTezel, Gulay
dc.date.accessioned2020-03-26T18:41:48Z
dc.date.available2020-03-26T18:41:48Z
dc.date.issued2013
dc.departmentSelçuk Üniversitesien_US
dc.description18th International Symposium on Artificial Life and Robotics (AROB) -- JAN 30-FEB 01, 2013 -- Daejeon, SOUTH KOREAen_US
dc.description.abstractElectroencephalogram (EEG) is used routinely for diagnosis of diseases occurring in the brain. It is a very useful clinical tool in classification of epileptic attacks and epilepsy diagnosis. In this paper, epilepsy diagnosis by evaluation of EEG records is presented. Artificial Neural Networks (ANN) is used as a classification technique. Particle Swarm Optimization (PSO) method, which doesn't require gradient calculation, derivative information and any solution of differential equations is preferred for ANN training. This training method is compared with back propagation algorithm, which is one of the traditional methods, and the results are interpreted. In case of using the PSO algorithm, the training and test classification accuracies are %99.67 and %100, respectively. PSO based neural network model (PSONN) has a better classification accuracy than back propagation neural network model (BPNN) for epilepsy diagnosis.en_US
dc.description.sponsorshipInt Symposium Artificial Life & Robot, Int Org Comm, Soc Instrument & Control Engineers, Robot Soc Japan, Inst Elect Engineers Japan, Inst Syst Control & Informat Engineers, Inst Elect Informat & Commun Engineers, IEEE Japan Council, IEEE Robot & Automat Soc, Japan Chapter, Japan Robot Assoc, Inst Control Robot & Syst, Chinese Assoc Artificial Intelligenceen_US
dc.identifier.endpage463en_US
dc.identifier.isbn978-4-9902880-7-5
dc.identifier.startpage460en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/29471
dc.identifier.wosWOS:000387182200112en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherALIFE ROBOTICS CO, LTDen_US
dc.relation.ispartofPROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 18TH '13)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial neural networksen_US
dc.subjectback propagation algorithmen_US
dc.subjectEEGen_US
dc.subjectepilepsy diagnosisen_US
dc.subjectparticle swarm optimizationen_US
dc.titleEpilepsy Diagnosis Using PSO based ANNen_US
dc.typeConference Objecten_US

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