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基于小波尺度函数的WSK-SV算法 及其气动性能预测

王保国 徐燕骥 安二 孙拓

王保国, 徐燕骥, 安二, 孙拓. 基于小波尺度函数的WSK-SV算法 及其气动性能预测[J]. 航空动力学报, 2011, 26(10): 2161-2166.
引用本文: 王保国, 徐燕骥, 安二, 孙拓. 基于小波尺度函数的WSK-SV算法 及其气动性能预测[J]. 航空动力学报, 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.

基于小波尺度函数的WSK-SV算法 及其气动性能预测

基金项目: 国家自然科学基金(50376004); 高等学校博士学科点专项基金(20030007028)

WSK-SV algorithm based on scaling function of wavelet and its prediction for aerodynamic performance

  • 摘要: 提出了一种将小波的尺度函数与SV(support vector)算法相结合的WSK-SV(wavelet scaling kernel-support vector)新算法,并将Daubechies小波以及Shannon小波的尺度函数分别构成尺度核函数,而且分别作为SV算法中一个可容许的支持向量核函数使用.该算法充分利用了Daubechies小波函数的紧支集与正交等特点以及小波的MRA(multi-resolution analysis,多分辨分析),并注意了尺度核函数能够满足Mercer条件.该算法除了具有通常SVM(support vector machine)所具有的优点外,还具有很好的收敛性以及泛化能力,能够有效地提高学习与预测效率.典型算例选取了不同的小波尺度函数,数值计算表明:在一维、二维和三维问题中,这些小波的尺度函数均可以用于WSK-SV算法,进而显示了这个新算法的可行性与通用性.

     

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出版历程
  • 收稿日期:  2011-06-07
  • 修回日期:  2011-07-06
  • 刊出日期:  2011-10-28

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