International Journal of Intelligent Systems and Applications(IJISA)
ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)
Published By: MECS Press
IJISA Vol.5, No.5, Apr. 2013
Simulation Model of Magnetic Levitation Based on NARX Neural Networks
Full Text (PDF, 454KB), PP.25-32
In this paper, we present analysis of different training types for nonlinear autoregressive neural network, used for simulation of magnetic levitation system. First, the model of this highly nonlinear system is described and after that the Nonlinear Auto Regressive eXogenous (NARX) of neural network model is given. Also, numerical optimization techniques for improved network training are described. It is verified that NARX neural network can be successfully used to simulate real magnetic levitation system if suitable training procedure is chosen, and the best two training types, obtained from experimental results, are described in details.
Cite This Paper
Dragan Antić, Miroslav Milovanović, Saša Nikolić, Marko Milojković, Staniša Perić,"Simulation Model of Magnetic Levitation Based on NARX Neural Networks", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.5, pp.25-32, 2013.DOI: 10.5815/ijisa.2013.05.04
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