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Avtomatika i Telemekhanika, 2011, Issue 5, Pages 175–182 (Mi at1712)  
This article is cited in 3 scientific papers (total in 3 papers)

System Analysis and Operations Research

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)

A. Ya. Chervonenkisa, S. S. Chernovab, T. V. Zykovac

a Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
b Institute for Systems Analysis, Russian Academy of Sciences, Moscow, Russia
c International Research Institute of Control Problems, Moscow, Russia
Full-text PDF (165 kB) Citations (3)
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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.
Presented by the member of Editorial Board: A. V. Bernshtein

Received: 25.12.2009
English version:
Automation and Remote Control, 2011, Volume 72, Issue 5, Pages 1061–1067
DOI: https://doi.org/10.1134/S0005117911050134
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. Ya. Chervonenkis, S. S. Chernova, T. V. Zykova, “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)”, Avtomat. i Telemekh., 2011, no. 5, 175–182; Autom. Remote Control, 72:5 (2011), 1061–1067
Citation in format AMSBIB
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\paper 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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\yr 2011
\issue 5
\pages 175--182
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\pages 1061--1067
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    • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    References:43
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