• Journal of Infrared and Millimeter Waves
  • Vol. 28, Issue 5, 386 (2009)
WANG Jia-Hua, LI Peng-Fei, CAO Nan-Ning, and HAN Dong-Hai
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  • [in Chinese]
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    DOI: Cite this Article
    WANG Jia-Hua, LI Peng-Fei, CAO Nan-Ning, HAN Dong-Hai. STUDY ON THE COMBINATION WEIGHT PLS MODEL FOR DETERMING SSC OF PEACH BASED ON THE OPTIMAL INFORMATION REGIONS OBTAINED FROM iPLS METHODS[J]. Journal of Infrared and Millimeter Waves, 2009, 28(5): 386 Copy Citation Text show less
    References

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    [6] Durand A, Devos O, Ruckebusch C, et al. Genetic algo- rithm optimization combined with partial least squares re- gression and mutual information variable selection proce- dures in near-infrared quantitative analysis of cotton viscose textiles[J]. Analytica Chimica Acta, 2007, 595 :72—79.

    [7] Jiang J H, Berry R J, Ozaki Y, et al. Wavelength interval selection in multicomponent spectral analysis by moving window partial least-squares regression with applications to mid-infrared and near-Infrared spectroscopic data[J]. Anal. Chem., 2002, 74 :3555—3565.

    [8] N rgaard L, Saudland A, Wagner J, et al. Interval partial least squares regression (iPLS): a comparative chemomet- ric study with an example from near-infrared spectroscopy [J]. Applied Spectroscopy, 2000, 54 :413—419.

    [9] Zou Xiao-bo, Zhao Jie-wen, Li Yan-xiao. Selection of the efficient wavelength regions in FT-NIR spectroscopy for determination of SSC of Fuji' apple based on BiPLS and FiPLS models[J]. Vibrational Spectroscopy, 2007, 44 : 220—227.

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    WANG Jia-Hua, LI Peng-Fei, CAO Nan-Ning, HAN Dong-Hai. STUDY ON THE COMBINATION WEIGHT PLS MODEL FOR DETERMING SSC OF PEACH BASED ON THE OPTIMAL INFORMATION REGIONS OBTAINED FROM iPLS METHODS[J]. Journal of Infrared and Millimeter Waves, 2009, 28(5): 386
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