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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
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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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