Classification and identification of brands of iron ores using laser-induced breakdown spectroscopy combined with principal component analysis and artificial neural networks

Author:

Yang Yawen12345,Li Chen564,Liu Shu564ORCID,Min Hong564,Yan Chenglin564,Yang Minli1234,Yu Jin78910

Affiliation:

1. College of Chemistry and Materials Science

2. Shanghai Normal University

3. Shanghai 200234

4. P. R. China

5. Technical Center for Industrial Product and Raw Material Inspection and Testing

6. Shanghai

7. School of Physics and Astronomy

8. Shanghai Jiao Tong University

9. Shanghai 200240

10. China

Abstract

In this work, PCA-ANN models of LIBS spectra were developed to classify and identify iron ores according to the production countries and brands.

Funder

National Basic Research Program of China

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

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