Characterization of a wavelength selection method using near-infrared spectroscopy and partial least squares with false nearest neighbors and its application in the detection of the chemical oxygen demand of waste liquid-Reference-Cited by-同舟云学术

Characterization of a wavelength selection method using near-infrared spectroscopy and partial least squares with false nearest neighbors and its application in the detection of the chemical oxygen demand of waste liquid

Published:2019-10-16 Issue:9 Volume:52 Page:553-562
ISSN:0038-7010
Container-title:Spectroscopy Letters
language:en
Short-container-title:Spectroscopy Letters

Author:

Mei Qing-Ping¹²,Li Tai-Fu³,Yao Li-Zhong⁴,Liu Xiao-Hong¹,Hu Yuan-Li¹,Hu Lei¹

Affiliation:

1. School of Big Data and Information Industry, Chongqing City Management College, Chongqing, China;

2. School of Intelligent Technology and Engineering, Chongqing University of Science and Technology, Chongqing, China;

3. School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China;

4. School of Manufacturing Science and Engineering, Sichuan University, Chengdu, China

Publisher

Informa UK Limited

Subject

Spectroscopy,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00387010.2019.1676261

Reference13 articles.

1. Spectral transformation and wavelength selection in near-infrared spectra classification

2. Application of the Modified UVE-PLS Method for a Mid-Infrared Absorption Spectral Data Set of Water—Ethanol Mixtures

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