Volume 26 Issue 10
Oct.  2011
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Article Navigation >  Journal of Aerospace Power  > 2011  >  26(10): 2161-2166
WANG Bao-guo, XU Yan-ji, AN Er, SUN Tuo. WSK-SV algorithm based on scaling function of wavelet and its prediction for aerodynamic performance[J]. Journal of Aerospace Power, 2011, 26(10): 2161-2166.
Citation: WANG Bao-guo, XU Yan-ji, AN Er, SUN Tuo. WSK-SV algorithm based on scaling function of wavelet and its prediction for aerodynamic performance[J]. Journal of Aerospace Power, 2011, 26(10): 2161-2166.
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WSK-SV algorithm based on scaling function of wavelet and its prediction for aerodynamic performance

  • 1.

    Aerothermodynamics and Man-Machine-Environment Laboratory, School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    Insititute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing 100190, China

  • Received Date: 2011-06-07
  • Rev Recd Date: 2011-07-06
  • Publish Date: 2011-10-28
    Abstract
  • A new wavelet scaling kernel-support vector (WSK-SV) algorithm based on scaling function of wavelet and support vector (SV) algorithm was presented in this paper,which firstly took Daubechies and Shannon wavelet-scaling kernel function for a kind of admissible support vector kernel,respectively.WSK-SV algorithm possesses such properties as compactly supported wavelet bases,orthogonal bases,multiresolution analysis (MRA),and satisfies Mercer condition for scaling kernel function.This algorithm not only has the advantages of general support vector machine (SVM),but also has a good convergence and excellent capacity of generalization,which can improve the learning efficiency and predicting ability.Numerical experiments demonstrate that this proposed WSK-SV algorithm is feasible and effective.

     

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