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Robust training of radial basis networks

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Abstract

Robust training of radial-basis networks under non-normally distributed noise is considered. The simulation results show that multistep projection training algorithms minimizing various forms of module criteria are rather efficient in this case.

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Authors and Affiliations

  1. Kharkov National University of Radio Electronics, Kharkov, Ukraine

    O. G. Rudenko & O. O. Bezsonov

Authors
  1. O. G. Rudenko
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  2. O. O. Bezsonov
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Corresponding author

Correspondence to O. G. Rudenko.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 38–46, November–December 2011.

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Rudenko, O.G., Bezsonov, O.O. Robust training of radial basis networks. Cybern Syst Anal 47, 863–870 (2011). https://doi.org/10.1007/s10559-011-9365-8

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  • DOI: https://doi.org/10.1007/s10559-011-9365-8

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