Analytical-performance improvement of laser-induced breakdown spectroscopy for steel using multi-spectral-line calibration with an artificial neural network
Author:
Affiliation:
1. Wuhan National Laboratory for Optoelectronics (WNLO)
2. Huazhong University of Science and Technology
3. Wuhan
4. P. R. China
Abstract
A multi-spectral-line calibration approach based on an artificial neural network is presented for steel analysis in LIBS.
Funder
National Natural Science Foundation of China
Publisher
Royal Society of Chemistry (RSC)
Subject
Spectroscopy,Analytical Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2015/JA/C5JA00089K
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