Title :
Identification of disk drive systems using the Multifeedback-Layer Neural Network and the Particle Swarm Optimization algorithm
Author :
Aksu, Inayet Ozge ; Coban, Ramazan
Author_Institution :
Dept. of Comput. Eng., Adana Sci. & Technol. Univ., Adana, Turkey
Abstract :
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.
Keywords :
closed loop systems; disc drives; learning (artificial intelligence); particle swarm optimisation; recurrent neural nets; PSO algorithm; closed loop identification; connection weights; disk drive system; multifeedback-layer neural network training; particle swarm optimization algorithm; reader head position; Bismuth; Indexes; Multifeedback-Layer Neural Network; Particle Swarm Optimization; disk drives system; identification; recurrent neural networks;
Conference_Titel :
Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013 International Conference on
Conference_Location :
Konya
Print_ISBN :
978-1-4673-5612-1
DOI :
10.1109/TAEECE.2013.6557276
