Acta Optica Sinica, Volume. 24, Issue 7, 953(2004)

Identification of Chaotic Optical System Based on Support Vector Machine

Ye Meiying1 and Wang Xiaodong2
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(2)

    [7] [7] Vapnik V N. The Nature of Statistical Learning Theory. New York: Springer, 2000

    [8] [8] Suykens J A K. Least squares support vector machines for classification and nonlinear modelling. Neural Network World, 2000, 10(1~2):29~48

    CLP Journals

    [1] Yang Youliang, Wang Peng, Ma Cuihong. Quantitative Analysis of Mn Element in Liquid Steel by LIBS Based on Particle Swarm Optimized Support Vector Machine[J]. Laser & Optoelectronics Progress, 2015, 52(7): 73004

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    Ye Meiying, Wang Xiaodong. Identification of Chaotic Optical System Based on Support Vector Machine[J]. Acta Optica Sinica, 2004, 24(7): 953

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    Paper Information

    Category: Nonlinear Optics

    Received: Aug. 21, 2003

    Accepted: --

    Published Online: May. 25, 2010

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