Influence of Similarity Measure Based Improved KS Algorithm on Near-Infrared Spectroscopy Analysis Model

GAO Yunfei; FU Linyu; QU Jun; WANG Juxiang; XING Zhina; WENG Xinhua

doi:10.3969/j.issn.1671-637x.2019.06.004

Journals >Electronics Optics & Control >Volume 26 >Issue 6 >Page 18 > Article

Electronics Optics & Control
Vol. 26, Issue 6, 18 (2019)

GAO Yunfei¹, FU Linyu¹, QU Jun¹, WANG Juxiang¹, XING Zhina¹, and WENG Xinhua²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2019.06.004 Cite this Article

GAO Yunfei, FU Linyu, QU Jun, WANG Juxiang, XING Zhina, WENG Xinhua. Influence of Similarity Measure Based Improved KS Algorithm on Near-Infrared Spectroscopy Analysis Model[J]. Electronics Optics & Control, 2019, 26(6): 18 Copy Citation Text

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References

[1] PENG Y F, LUO H P, LUO X N, et al.SPXY sample classification method and successive projections algorithm combined with near-infrared spectroscopy for the determination of total sugar content of southern Xinjiang jujube［J］. Advanced Materials Research, 2014, 1030/1031/1032:352-356.

[7] LIANG C, ZHAO Z, CAO Y T, et al. A new study of calibration model transfer method for near-infrared spectral analysis［J］.Spectroscopy and Spectral Analysis, 2017, 37(5): 1587-1594.

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