Identification of disk drive systems using the Multifeedback-Layer Neural Network and the Particle Swarm Optimization algorithm

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dc.contributor.authorAksu, Inayet Ozge
dc.contributor.authorCoban, Ramazan
dc.date.accessioned2025-01-06T17:29:42Z
dc.date.available2025-01-06T17:29:42Z
dc.date.issued2013
dc.description2013 International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2013 -- 9 May 2013 through 11 May 2013 -- Konya -- 98483
dc.description.abstractIn this study, the closed loop identification of the reader head position of a disk drive system is proposed by using the Multifeedback-Layer Neural Network. To identify the system, the connection weights of the Multifeedback-Layer Neural Network (MFLNN) are trained by the Particle Swarm Optimization (PSO) algorithm. Simulation results show the effectiveness of the proposed method. © 2013 IEEE.
dc.identifier.doi10.1109/TAEECE.2013.6557276
dc.identifier.endpage234
dc.identifier.isbn978-146735612-1
dc.identifier.scopus2-s2.0-84882280515
dc.identifier.startpage230
dc.identifier.urihttps://doi.org/10.1109/TAEECE.2013.6557276
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1299
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.ispartof2013 The International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2013
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectdisk drives system
dc.subjectidentification
dc.subjectMultifeedback-Layer Neural Network
dc.subjectParticle Swarm Optimization
dc.subjectrecurrent neural networks
dc.titleIdentification of disk drive systems using the Multifeedback-Layer Neural Network and the Particle Swarm Optimization algorithm
dc.typeConference Object

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