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Journals >Acta Optica Sinica >Volume 24 >Issue 7 >Page 953 > Article

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

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References

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

[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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