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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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