Journal of Applied Mathematics and Physics
Vol.6 No.1(2018), Paper ID 82069, 17
pages
DOI:10.4236/jamp.2018.61024
Some Features of Neural Networks as Nonlinearly Parameterized Models of Unknown Systems Using an Online Learning Algorithm
Leonid S. Zhiteckii, Valerii N. Azarskov, Sergey A. Nikolaienko, Klaudia Yu. Solovchuk
Department of Intelligent Automatic Systems, International Centre of Information Technologies and Systems, Institute of Cybernetics, Kiev, Ukraine
Aircraft Control Systems Department, National Aviation University, Kiev, Ukraine
Department of Intelligent Automatic Systems, International Centre of Information Technologies and Systems, Institute of Cybernetics, Kiev, Ukraine
Department of Intelligent Automatic Systems, International Centre of Information Technologies and Systems, Institute of Cybernetics, Kiev, Ukraine
Copyright © 2018 Leonid S. Zhiteckii, Valerii N. Azarskov, Sergey A. Nikolaienko, Klaudia Yu. Solovchuk et al. This is
an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any
medium, provided the original work is properly cited.
How to Cite this Article
Zhiteckii, L. , Azarskov, V. , Nikolaienko, S. and Solovchuk, K. (2018) Some Features of Neural Networks as Nonlinearly Parameterized Models of Unknown Systems Using an Online Learning Algorithm.
Journal of Applied Mathematics and Physics,
6, 247-263. doi:
10.4236/jamp.2018.61024.