Modified self‐adaptive model for improving the prediction accuracy of soil organic matter using laser‐induced breakdown spectroscopy

2020 ◽  
Author(s):  
Xuebin Xu ◽  
Changwen Du ◽  
Fei Ma ◽  
Yazhen Shen ◽  
Yiqiang Zhang ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Prediction Accuracy ◽  
Laser Induced Breakdown Spectroscopy ◽  
Adaptive Model ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Self Adaptive

Novel estimation of the humification degree of soil organic matter by laser-induced breakdown spectroscopy

2014 ◽  
Vol 99 ◽  
pp. 76-81 ◽  
Author(s):  
Edilene Cristina Ferreira ◽  
Ednaldo José Ferreira ◽  
Paulino Ribeiro Villas-Boas ◽  
Giorgio Saverio Senesi ◽  
Camila Miranda Carvalho ◽  
...  
Keyword(s):  
Organic Matter ◽  
Soil Organic Matter ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Humification Degree

Analysis of ion doping profiles in Yb-doped fiber preforms using laser-induced breakdown spectroscopy

2016 ◽  
Vol 31 (2) ◽  
pp. 492-496 ◽  
Author(s):  
Jiaming Li ◽  
Lianbo Guo ◽  
Nan Zhao ◽  
Qimeng Chen ◽  
Baoye Wu ◽  
...  
Keyword(s):  
Median Filter ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Ion Doping ◽  
Adaptive Median Filter ◽  
Laser Induced Breakdown ◽  
Doping Profiles ◽  
Fiber Preforms ◽  
Self Adaptive

This study describes ion doping profiling in Yb-doped fiber preforms using laser-induced breakdown spectroscopy assisted by a self-adaptive median filter.

Quantitative analysis of coal quality by laser-induced breakdown spectroscopy assisted with different chemometric methods

2020 ◽  
Vol 12 (27) ◽  
pp. 3530-3536
Author(s):  
Youjian Zhang ◽  
Zhang Xiong ◽  
Yiwen Ma ◽  
Chenwei Zhu ◽  
Ran Zhou ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Prediction Accuracy ◽  
Laser Induced Breakdown Spectroscopy ◽  
Chemometric Methods ◽  
Coal Quality ◽  
Breakdown Spectroscopy ◽  
Calibration Methods ◽  
Laser Induced Breakdown

LIBS technique assisted with four different chemometric methods was applied to rapid and accurate measurement of coal quality, and the modeling efficiency and prediction accuracy of the four calibration methods were compared and discussed.

Quantitative analysis of chromium in pork by PSO-SVM chemometrics based on laser induced breakdown spectroscopy

2019 ◽  
Vol 34 (5) ◽  
pp. 884-890 ◽  
Author(s):  
Tianbing Chen ◽  
Linying Zhang ◽  
Lin Huang ◽  
Muhua Liu ◽  
Jinyin Chen ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Quantitative Analysis ◽  
Spectral Data ◽  
Prediction Accuracy ◽  
Metal Content ◽  
Quantitative Prediction ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Ann Models

The PSO-SVM method shown here, for the analysis of LIBS spectral data, provides much better fitting results and prediction accuracy than siPLS and MLP-ANN models for the quantitative prediction of heavy metal content in pork.

A laser induced breakdown spectroscopy quantitative analysis method based on the robust least squares support vector machine regression model

2015 ◽  
Vol 30 (7) ◽  
pp. 1541-1551 ◽  
Author(s):  
Jianhong Yang ◽  
Cancan Yi ◽  
Jinwu Xu ◽  
Xianghong Ma
Keyword(s):  
Quantitative Analysis ◽  
Prediction Accuracy ◽  
Laser Induced Breakdown Spectroscopy ◽  
Support Vector ◽  
Analysis Method ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Quantitative Analysis Method ◽  
Robust Least Squares ◽  
Multiple Measurements

Data fluctuation in multiple measurements of Laser Induced Breakdown Spectroscopy (LIBS) greatly affects the accuracy of quantitative analysis. Our proposed method achieved better prediction accuracy and modeling robustness.

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