Electronics Optics & Control, Volume. 23, Issue 8, 97(2016)

Step Auto-regression Kernel Principal Component Analysis and Its Application

ZHANG Min-long... WANG Tao, WANG Xu-ping and CHANG Hong-wei |Show fewer author(s)
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    References(4)

    [1] [1] SCHLKOPF B, SMOLA A, MLLER K R. Nonlinear component analysis as a kernel eigenvalue problem[J]. Neural Computation, 1998, 10(5): 1299-1319.

    [3] [3] LIN C, PENG F, WANG B H, et al. Research on PCA and KPCA self-fusion based MSTARSAR automatic target re-cognition algorithm[J]. Journal of Electronic Science and Technology, 2012, 10(4): 352-357.

    [4] [4] JIANG Q C, YAN X F. Statistical Monitoring of chemical processes based on sensitive kernel principal components[J]. Chinese Journal of Chemical Engineering, 2013, 21(6): 633-643.

    [10] [10] KU W F, STORER R H, GEORGAKIS C. Disturbance detection and isolation by dynamic principal component analysis[J]. Chemometrics and Intelligent Laboratory Systems, 1995, 30(1): 179-196.

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    ZHANG Min-long, WANG Tao, WANG Xu-ping, CHANG Hong-wei. Step Auto-regression Kernel Principal Component Analysis and Its Application[J]. Electronics Optics & Control, 2016, 23(8): 97

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    Paper Information

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    Received: Jul. 16, 2015

    Accepted: --

    Published Online: Jan. 26, 2021

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2016.08.023

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