Validated ensemble variable selection of laser-induced breakdown spectroscopy data for coal property analysis

Author(s):  
Weiran Song ◽  
Zongyu Hou ◽  
Muhammad Sher Afgan ◽  
Weilun Gu ◽  
Hui Wang ◽  
...  

Variable selection based on ensemble learning and validation for rapid and low-cost analysis of coal properties using laser-induced breakdown spectroscopy.

2017 ◽  
Vol 409 (11) ◽  
pp. 3017-3024 ◽  
Author(s):  
Fabiano Barbieri Gonzaga ◽  
Lescy Romulo Braga ◽  
Alexandre Pimentel Sampaio ◽  
Thiago de Souza Martins ◽  
Charles Giovani de Oliveira ◽  
...  

2018 ◽  
Vol 33 (12) ◽  
pp. 2089-2097 ◽  
Author(s):  
Chunhua Yan ◽  
Juan Qi ◽  
Jing Liang ◽  
Tianlong Zhang ◽  
Hua Li

Determination of coal properties using LIBS combined with K-ELM and variable selection.


2017 ◽  
Vol 32 (2) ◽  
pp. 277-288 ◽  
Author(s):  
P. Pořízka ◽  
J. Klus ◽  
A. Hrdlička ◽  
J. Vrábel ◽  
P. Škarková ◽  
...  

Normalization of data is significant and should be chosen according to the sample matrix under investigation.


2017 ◽  
Vol 32 (6) ◽  
pp. 1166-1176 ◽  
Author(s):  
Xiao Fu ◽  
Fa-Jie Duan ◽  
Ting-Ting Huang ◽  
Ling Ma ◽  
Jia-Jia Jiang ◽  
...  

A fast variable selection method combining iPLS and mIPW-PLS is proposed to reduce the dimensions of the spectrum for LIBS quantitative analysis.


Talanta ◽  
2019 ◽  
Vol 205 ◽  
pp. 120167 ◽  
Author(s):  
Rodrigo Papai ◽  
Cleide da Silva Mariano ◽  
Camila Vilela Pereira ◽  
Paulo Vinicius Ferreira da Costa ◽  
Flavio de Oliveira Leme ◽  
...  

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