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Applications of kernel ridge estimation to the problem of computing the aerodynamical characteristics of a passenger plane (in comparison with results obtained with artificial neural networks)

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Abstract

We show the results of applying the kernel ridge regression method to the problem of fast computation of aerodynamical characteristics of an airplane. We compare our results with the results found with surrogate models constructed with artificial neural networks.

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Authors and Affiliations

  1. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

    A. Ya. Chervonenkis

  2. Institute for Systems Analysis, Russian Academy of Sciences, Moscow, Russia

    S. S. Chernova

  3. International Research Institute of Control Problems, Moscow, Russia

    T. V. Zykova

Authors
  1. A. Ya. Chervonenkis
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  2. S. S. Chernova
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  3. T. V. Zykova
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Additional information

Original Russian Text © A.Ya. Chervonenkis, S.S. Chernova, T.V. Zykova, 2011, published in Avtomatika i Telemekhanika, 2011, No. 5, pp. 175–182.

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Chervonenkis, A.Y., Chernova, S.S. & Zykova, T.V. Applications of kernel ridge estimation to the problem of computing the aerodynamical characteristics of a passenger plane (in comparison with results obtained with artificial neural networks). Autom Remote Control 72, 1061–1067 (2011). https://doi.org/10.1134/S0005117911050134

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  • DOI: https://doi.org/10.1134/S0005117911050134

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