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)

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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Article ID: iaor20116059
Volume: 72
Issue: 5
Start Page Number: 1061
End Page Number: 1067
Publication Date: May 2011
Journal: Automation and Remote Control
Authors: , ,
Keywords: statistics: regression, transportation: air, neural networks, simulation
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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