Identification of disk drive systems using the Multifeedback-Layer Neural Network and the Particle Swarm Optimization algorithm
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Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In 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.
Açıklama
2013 International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2013 -- 9 May 2013 through 11 May 2013 -- Konya -- 98483
Anahtar Kelimeler
disk drives system, identification, Multifeedback-Layer Neural Network, Particle Swarm Optimization, recurrent neural networks
Kaynak
2013 The International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2013
