• Optics and Precision Engineering
  • Vol. 15, Issue 4, 557 (2007)
1, 1, 2, and 1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: Cite this Article
    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Precision measurement for small size parts based on support vector regression[J]. Optics and Precision Engineering, 2007, 15(4): 557 Copy Citation Text show less
    References

    [2] STEVE G.Support vector machines classification and regression[C].ISIS Technical Report.Image Speech & Intelligent Systems Group,University of Southampton,1998.

    [3] BOSER B E,GUYON I M,VAPNIK V N.A training algorithm for optimal margin classifiers[C].5th Annual ACM Workshop on COLT.Pittsburgh,PA:CM Press,1992:144-152.

    [8] VAPNIK V N.The nature of statistical learning theory[M].New York:Springer-Verlag,1995.

    [9] CRISTIANINI N,SHAWE-TAYLOR I.An Introduction to Support Vector Machines and Other Kernel-based Learning Methods[M].Cambridge:Cambridge University Press,2000.

    [10] PLATT I.Fast training of support vector machines using sequenitial minimal optimization[C].Advances in Kernel Methods-Support Vector Learning,MA:MIT Press,1998:185-208.

    [11] SHEVADE S,KEERTHI S.Improvements to the SMO algorithm for SVM regression[J].IEEE Trans.Neural Networks,2000,11 (5):1183-1188.

    CLP Journals

    [1] JIANG Xin, LI Hua, ZHU Hui, LIU Jie. Precision Measuring System for Tube Support Plate of Steam Generator[J]. Acta Photonica Sinica, 2016, 45(3): 312002

    [2] CHEN Ping, PAN Jin-Xiao, LIU Bin. Computed tomography image edge degradation model and its application to image size measurement[J]. Optics and Precision Engineering, 2009, 17(9): 2269

    [3] HUANG Ji-dong, WANG Long-shan, LI Guo-fa, ZHANG Xiu-zhi, WANG Jia-zhong. Prediction system of surface roughness based on LS-SVM in cylindrical longitudinal grinding[J]. Optics and Precision Engineering, 2010, 18(11): 2407

    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Precision measurement for small size parts based on support vector regression[J]. Optics and Precision Engineering, 2007, 15(4): 557
    Download Citation