Quantitative analysis of sinters using laser-induced breakdown spectroscopy (LIBS) coupled with kernel-based extreme learning machine (K-ELM)

2018 ◽  
Vol 10 (9) ◽  
pp. 1074-1079 ◽  
Author(s):  
Yu Ding ◽  
Fei Yan ◽  
Guang Yang ◽  
Haixiu Chen ◽  
Zhensheng Song
Keyword(s):  
Quantitative Analysis ◽  
Extreme Learning Machine ◽  
Total Iron ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Learning Machine

This work explores the combination of LIBS technology and K-ELM algorithm for the quantitative analysis of total iron (TFe) content and alkalinity of sinter.

scholarly journals Correction: Discrimination of nasopharyngeal carcinoma serum using laser-induced breakdown spectroscopy combined with an extreme learning machine and random forest method

2020 ◽  
Vol 35 (7) ◽  
pp. 1505-1505
Author(s):  
Yanwu Chu ◽  
Tong Chen ◽  
Feng Chen ◽  
Yun Tang ◽  
Shisong Tang ◽  
...  
Keyword(s):  
Random Forest ◽  
Nasopharyngeal Carcinoma ◽  
Extreme Learning Machine ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Random Forest Method ◽  
Laser Induced Breakdown ◽  
Learning Machine

Correction for ‘Discrimination of nasopharyngeal carcinoma serum using laser-induced breakdown spectroscopy combined with an extreme learning machine and random forest method’ by Yanwu Chu et al., J. Anal. At. Spectrom., 2018, 33, 2083–2088, DOI: 10.1039/C8JA00263K.

Determination of coal properties using laser-induced breakdown spectroscopy combined with kernel extreme learning machine and variable selection

2018 ◽  
Vol 33 (12) ◽  
pp. 2089-2097 ◽  
Author(s):  
Chunhua Yan ◽  
Juan Qi ◽  
Jing Liang ◽  
Tianlong Zhang ◽  
Hua Li
Keyword(s):  
Variable Selection ◽  
Extreme Learning Machine ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Kernel Extreme Learning Machine ◽  
Coal Properties ◽  
Learning Machine

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

A NOVEL STRATEGY FOR DIRECT ELEMENTAL DETERMINATION USING LASER-INDUCED BREAKDOWN SPECTROSCOPY: FLUENCE CALIBRATION

2021 ◽  
Author(s):  
Raquel C Machado ◽  
Diego Victor Babos ◽  
Daniel Fernandes Andrade ◽  
Edenir Rodrigues Pereira-Filho
Keyword(s):  
Quantitative Analysis ◽  
Matrix Effects ◽  
Calibration Method ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Elemental Determination ◽  
Laser Induced Breakdown ◽  
Direct Solid Analysis ◽  
Novel Strategy ◽  
Direct Solid

Quantitative analysis requires several efforts to obtain an adequate calibration method to overcome matrix effects employing direct solid analysis by laser-induced breakdown spectroscopy (LIBS). To this end, in this study,...

Repeatability enhancing method for one-shot LIBS analysis via spectral intensity correction based on probability distribution

2021 ◽  
Author(s):  
Fu Chang ◽  
Jianhong Yang ◽  
Huili Lu ◽  
Haixia Li
Keyword(s):  
Quantitative Analysis ◽  
Probability Distribution ◽  
Spectral Intensity ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Multiple Measurements

It is significant to improve the repeatability of quantitative analysis of laser-induced breakdown spectroscopy (LIBS) in one-shot measurement where the skill of averaging is not valid because multiple measurements are...

A fast variable selection method for quantitative analysis of soils using laser-induced breakdown spectroscopy

2017 ◽  
Vol 32 (6) ◽  
pp. 1166-1176 ◽  
Author(s):  
Xiao Fu ◽  
Fa-Jie Duan ◽  
Ting-Ting Huang ◽  
Ling Ma ◽  
Jia-Jia Jiang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Variable Selection ◽  
Selection Method ◽  
Laser Induced Breakdown Spectroscopy ◽  
Fast Variable ◽  
Breakdown Spectroscopy ◽  
Variable Selection Method ◽  
Laser Induced Breakdown

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

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