Journal of Automation and Information Sciences
Published 12 issues per year
ISSN Print: 1064-2315
ISSN Online: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Identification of Nonlinear Nonstationary Objects Using Evolving Radial Basis Network
Volume 44,
Issue 8, 2012,
pp. 11-21
DOI: 10.1615/JAutomatInfScien.v44.i8.20
ABSTRACT
The problem of neural network identification of the nonlinear nonstationary time dependent object, represented by the NARX-model is considered. The solution of this problem is based on a radial basis network, the choice of its structure, its adaptation and learning are carried out using a genetic algorithm. The results of simulation confirm the efficiency of the developed approach.
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