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Acta Optica Sinica, Volume. 32, Issue 8, 830001(2012)

Comparison Among Principal Component Regression, Partial Least Squares Regression and Back Propagation Neural Network for Prediction of Soil Nitrogen with Visible-Near Infrared Spectroscopy

Li Shuo1、*, Wang Shanqin1,2, and Zhang Meiqin1
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    Li Shuo, Wang Shanqin, Zhang Meiqin. Comparison Among Principal Component Regression, Partial Least Squares Regression and Back Propagation Neural Network for Prediction of Soil Nitrogen with Visible-Near Infrared Spectroscopy[J]. Acta Optica Sinica, 2012, 32(8): 830001

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    Paper Information

    Category: Spectroscopy

    Received: Feb. 14, 2012

    Accepted: --

    Published Online: Jul. 2, 2012

    The Author Email: Shuo Li (shuoguoguo@webmail.hzau.edu.cn)

    DOI:10.3788/aos201232.0830001

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology