Opto-Electronic Engineering, Volume. 33, Issue 8, 37(2006)

Application of mixture gas spectral recognition with support vector machine

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    References(5)

    [3] [3] V N.VAPNIK.Statistical Learning Theory[M].New York:John Wiley & Sons Inc,1998.

    [4] [4] V N.VAPNIK.The Nature of Statistical Learning[M].New York:Springer,1995.

    [5] [5] V N.VAPNIK.An Overview of Statistical Learning Theory[J].IEEE Trans on Neural Network,1999,10(5):988-999.

    [8] [8] CHIH Wei-hsu,CHIH Jen-lin.A Comparison of methods for multiclass support vector machines[J].IEEE Trans.on Neural Net works,2002,13(2):415-425.

    [9] [9] J.C.PLATT,N.CRISTIANINI,J.Shawe TAYLOR.Large margin DAG's for multiclass classification[A].Advances in Neural Information Processing System s[C].Cambridge,USA:MIT Press,2000.547-553.

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    [in Chinese], [in Chinese], [in Chinese]. Application of mixture gas spectral recognition with support vector machine[J]. Opto-Electronic Engineering, 2006, 33(8): 37

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    Paper Information

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    Received: Aug. 13, 2005

    Accepted: --

    Published Online: Nov. 14, 2007

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