Journal ArticleDOI
Classification of steel materials by laser-induced breakdown spectroscopy coupled with support vector machines.
Long Liang,Tianlong Zhang,Kang Wang,Hongsheng Tang,Xiaofeng Yang,Xiaoqin Zhu,Yixiang Duan,Hua Li +7 more
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TLDR
The studies presented here demonstrate that LIBS-SVM is a useful technique for the identification and discrimination of steel materials, and would be very well-suited for process analysis in the steelmaking industry.Abstract:
The feasibility of steel materials classification by support vector machines (SVMs), in combination with laser-induced breakdown spectroscopy (LIBS) technology, was investigated Multi-classification methods based on SVM, the one-against-all and the one-against-one models, and a combination model, are applied to classify nine types of round steel Due to the inhomogeneity of steel composition, the data obtained using the one-against-all and one-against-one models were ambiguous and difficult to discriminate; whereas, the combination model, was able to successfully distinguish most of the ambiguous data and control the computation cost within an acceptable range The studies presented here demonstrate that LIBS-SVM is a useful technique for the identification and discrimination of steel materials, and would be very well-suited for process analysis in the steelmaking industryread more
Citations
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Journal ArticleDOI
A study of machine learning regression methods for major elemental analysis of rocks using laser-induced breakdown spectroscopy
T. Boucher,Marie V. Ozanne,Marco L. Carmosino,M. Darby Dyar,Sridhar Mahadevan,E. A. Breves,K. H. Lepore,Samuel M. Clegg +7 more
TL;DR: The strong performance of the sparse methods in this study suggests that use of dimensionality-reduction techniques as a preprocessing step may improve the performance of both the linear and nonlinear models.
Journal ArticleDOI
A novel approach for the quantitative analysis of multiple elements in steel based on laser-induced breakdown spectroscopy (LIBS) and random forest regression (RFR)
TL;DR: In this article, a novel method based on laser induced breakdown spectroscopy (LIBS) and random forest regression (RFR) was proposed for the quantitative analysis of multiple elements in fourteen steel samples.
Journal ArticleDOI
Classification of iron ores by laser-induced breakdown spectroscopy (LIBS) combined with random forest (RF)
TL;DR: The study presented here demonstrates that LIBS–RF is a useful technique for the identification and discrimination of iron ore samples, and is promising for automatic real-time, fast, reliable, and robust measurements.
Journal ArticleDOI
Chemometrics in laser‐induced breakdown spectroscopy
TL;DR: In this article, the authors reviewed the research progress of chemometrics methods in LIBS for spectral data preprocessing as well as for qualitative and quantitative analyses in the most recent 5 years (2012•2016).
Journal ArticleDOI
A hybrid quantification model and its application for coal analysis using laser induced breakdown spectroscopy
TL;DR: In this article, the authors proposed a set method to improve both precision (sample-to-sample reproducibility) and accuracy for laser induced breakdown spectroscopy (LIBS) quantification.
References
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Journal ArticleDOI
Support-Vector Networks
Corinna Cortes,Vladimir Vapnik +1 more
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
Journal ArticleDOI
A Tutorial on Support Vector Machines for Pattern Recognition
TL;DR: There are several arguments which support the observed high accuracy of SVMs, which are reviewed and numerous examples and proofs of most of the key theorems are given.
Journal ArticleDOI
A comparison of methods for multiclass support vector machines
Hsu Chih-Wei,Chih-Jen Lin +1 more
TL;DR: Decomposition implementations for two "all-together" multiclass SVM methods are given and it is shown that for large problems methods by considering all data at once in general need fewer support vectors.
Journal ArticleDOI
Laser-induced breakdown spectroscopy (LIBS), part II: review of instrumental and methodological approaches to material analysis and applications to different fields.
David W. Hahn,Nicoló Omenetto +1 more
TL;DR: The current state-of-the-art of analytical LIBS is summarized, providing a contemporary snapshot of LIBS applications, and highlighting new directions in laser-induced breakdown spectroscopy, such as novel approaches, instrumental developments, and advanced use of chemometric tools are discussed.
BookDOI
Laser-induced breakdown spectroscopy (LIBS) : fundamentals and applications
TL;DR: In this article, Russo and Miziolek presented a short-pulse LIBS-based spectral detector for high-resolution laser-induced breakdown spectroscopy, which can be used for the analysis of pharmaceutical materials.
Related Papers (5)
Laser-induced breakdown spectroscopy (LIBS), part II: review of instrumental and methodological approaches to material analysis and applications to different fields.
David W. Hahn,Nicoló Omenetto +1 more