Rapid classification of heavy metal soils from different mining areas by using a GSCV quadratic merit seeking network combined with MF-LIBS-Reference-Cited by-同舟云学术

Rapid classification of heavy metal soils from different mining areas by using a GSCV quadratic merit seeking network combined with MF-LIBS

Published:2023 Issue:11 Volume:38 Page:2280-2290
ISSN:0267-9477
Container-title:Journal of Analytical Atomic Spectrometry
language:en
Short-container-title:J. Anal. At. Spectrom.

Author:

Jin Haoyu¹²^ORCID,Hao Xiaojian¹²,Mo Biming¹²

Affiliation:

1. Science and Technology on Electronic Test and Measurement Laboratory, North University of China, Taiyuan, Shanxi, China

2. State Key Laboratory of Dynamic Measurement Technology, North University Of China, Taiyuan, Shanxi, China

Abstract

By comparing different magnetic fields, the soil spectral data under the constraint of 0.98 T was selected. The spectral features were extracted by PCA, the SSA-GA-BP analysis model was constructed, and the hyperparameters were optimized by GSCV.

Funder

Natural Science Foundation of Shanxi Province

Fund for Shanxi Key Subjects Construction

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Subject

Spectroscopy,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/JA/D3JA00254C

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