A feature selection method combined with ridge regression and recursive feature elimination in quantitative analysis of laser induced breakdown spectroscopy-Reference-Cited by-同舟云学术

A feature selection method combined with ridge regression and recursive feature elimination in quantitative analysis of laser induced breakdown spectroscopy

Published:2020-03-13 Issue:7 Volume:22 Page:074002
ISSN:1009-0630
Container-title:Plasma Science and Technology
language:
Short-container-title:Plasma Sci. Technol.

Author:

WANG Guodong,SUN Lanxiang,WANG Wei,CHEN Tong,GUO Meiting,ZHANG Peng

Funder

Youth Innovation Promotion Association of the Chinese Academy of Sciences

LiaoNing Revitalization Talents Program

National Key Research and Development Program of China

the Key Research Program of Frontier Sciences, CAS

Publisher

IOP Publishing

Subject

Condensed Matter Physics

Link

https://iopscience.iop.org/article/10.1088/2058-6272/ab76b4/pdf

Reference25 articles.

1. Recent technological progress in Asia from the first Asian Symposium on Laser-induced Breakdown Spectroscopy

2. Laser-induced breakdown spectroscopy in China

3. Comparison of univariate and multivariate calibration for the determination of micronutrients in pellets of plant materials by laser induced breakdown spectrometry

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