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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

Radial Basic Networks M-training by Asymmetric Influence Functions

Volume 44, Issue 2, 2012, pp. 48-64
DOI: 10.1615/JAutomatInfScien.v44.i2.50
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ABSTRACT

We consider robust approach to radial basic networks training under the presence of measurement noise, which have asymmetric distributions. For minimization of the suggested asymmetric functionals the algorithms of Gauss−Newton and Levenberg−Marquardt are used. Estimation of noise parameters is done by the algorithm of stochastic approximation. Results of modeling, which confirm efficiency of the suggested approach, are stated.

CITED BY
  1. Rudenko Oleg G., Bezsonov Oleksandr O., ADALINE Robust Multistep Training Algorithm, Control Systems and Computers, 3 (287), 2020. Crossref

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