Stellar Spectra Classification Method Based on Multi-Class Support Vector Machine

ZHANG Jing; LIU Zhong-bao; SONG Wen-ai; FU Li-zhen; ZHANG Yong-lai

doi:10.3964/j.issn.1000-0593(2018)07-2307-04

Journals >Spectroscopy and Spectral Analysis >Volume 38 >Issue 7 >Page 2307 > Article

Spectroscopy and Spectral Analysis
Vol. 38, Issue 7, 2307 (2018)

Stellar Spectra Classification Method Based on Multi-Class Support Vector Machine

ZHANG Jing, LIU Zhong-bao, SONG Wen-ai, FU Li-zhen, and ZHANG Yong-lai

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[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2018)07-2307-04 Cite this Article

ZHANG Jing, LIU Zhong-bao, SONG Wen-ai, FU Li-zhen, ZHANG Yong-lai. Stellar Spectra Classification Method Based on Multi-Class Support Vector Machine[J]. Spectroscopy and Spectral Analysis, 2018, 38(7): 2307 Copy Citation Text

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References

[1] Xue J Q, Li Q B, Zhao Y H. Chinese Astronomy and Astrophysics, 2001, 25: 120.

[2] Alejandra R, Bernardino A, Carlos D, et al. Expert Systems with Applications, 2004, 27: 237.

[3] Malyuto V. New Astronomy, 2002, 7: 461.

[4] Bu Y D, Chen F Q, Pan J C. New Astronomy, 2014, 28: 35.

[5] Du C D, Luo A L, Yang H F. New Astronomy, 2017, 51: 51.

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