Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm-Reference-Cited by-同舟云学术

Heavy metal content prediction based on Random Forest and Sparrow Search Algorithm

Published:2022-09-30 Issue:10 Volume:36 Page:
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Chen Ying¹^ORCID,Liu Zhengying¹,Xu Chongxuan¹,Zhao Xueliang¹²,Pang Lili²,Li Kang²,Shi Yanxin²

Affiliation:

1. Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering Yanshan University Qinhuangdao China

2. Center for Hydrogeology and Environmental Geology, China Geological Survey Geological Environment Monitoring Engineering Technology Innovation Center of the Ministry of Natural Resources Baoding China

Funder

Hebei Provincial Key Research Projects

Natural Science Foundation of Hebei Province

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.3445

Reference31 articles.

1. Integrity of lichen cell membranes as an indicator of heavy-metal pollution levels in soil

2. Quantification of Cu and Zn in antifouling paint films by XRF

3. Estimation of Ag coating thickness by different methods using a handheld XRF instrument

4. Semi-quantitative and qualitative XRF analyses of alternative and renewable second-generation solid biofuels: Model development and validation

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