Aksu, Inayet OzgeCoban, Ramazan2025-01-062025-01-062013978-146735612-110.1109/TAEECE.2013.65572762-s2.0-84882280515https://doi.org/10.1109/TAEECE.2013.6557276https://hdl.handle.net/20.500.14669/12992013 International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2013 -- 9 May 2013 through 11 May 2013 -- Konya -- 98483In 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.eninfo:eu-repo/semantics/closedAccessdisk drives systemidentificationMultifeedback-Layer Neural NetworkParticle Swarm Optimizationrecurrent neural networksIdentification of disk drive systems using the Multifeedback-Layer Neural Network and the Particle Swarm Optimization algorithmConference Object234230