%0 Journal Article
%T Simulation Model of Magnetic Levitation Based on NARX Neural Networks
%A Dragan Anti£¿
%A Miroslav Milovanovi£¿
%A Sa£¿a Nikoli£¿
%A Marko Milojkovi£¿
%J International Journal of Intelligent Systems and Applications
%D 2013
%I MECS Publisher
%X 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.
%K Neural Network
%K Magnetic Levitation System
%K Nonlinear Model
%K Neural Network Training
%U http://www.mecs-press.org/ijisa/ijisa-v5-n5/v5n5-4.html