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
IEEE
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.
Açıklama
International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE) -- MAY 09-11, 2013 -- Mevlana Univ, Konya, TURKEY
Anahtar Kelimeler
Multifeedback-Layer Neural Network, recurrent neural networks, Particle Swarm Optimization, disk drives system, identification
Kaynak
2013 International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (Taeece)
WoS Q Değeri
N/A
