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.

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

2021 ◽  
Author(s):  
Weiran Song ◽  
Zongyu Hou ◽  
Muhammad Sher Afgan ◽  
Weilun Gu ◽  
Hui Wang ◽  
...  
Keyword(s):  
Variable Selection ◽  
Cost Analysis ◽  
Low Cost ◽  
Laser Induced Breakdown Spectroscopy ◽  
Spectroscopy Data ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Coal Properties ◽  
Coal Property ◽  
Selection Of

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

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.

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.

Determination of Ca addition to the wheat flour by using laser-induced breakdown spectroscopy (LIBS)

2016 ◽  
Vol 242 (10) ◽  
pp. 1685-1692 ◽  
Author(s):  
Gonca Bilge ◽  
Banu Sezer ◽  
Kemal Efe Eseller ◽  
Halil Berberoğlu ◽  
Hamit Köksel ◽  
...  
Keyword(s):  
Wheat Flour ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Ca Addition ◽  
Laser Induced Breakdown

Quantitative determination of calcium, magnesium, and zinc in fingernails by laser-induced breakdown spectroscopy

Talanta ◽  
2013 ◽  
Vol 117 ◽  
pp. 55-59 ◽  
Author(s):  
David A. Rusak ◽  
Ann E. Zeleniak ◽  
Jillian L. Obuhosky ◽  
Scott M. Holdren ◽  
Craig A. Noldy
Keyword(s):  
Quantitative Determination ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Calcium Magnesium
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