Quantitative multi-elemental laser-induced breakdown spectroscopy using artificial neural networks

Autor: Motto-Ros Vincent, Koujelev Alexander S., Osinski Gordon R., Dudelzak Alexander E.
Jazyk: angličtina
Rok vydání: 2008
Předmět:
Zdroj: Journal of the European Optical Society-Rapid Publications, Vol 3, p 08011 (2008)
Druh dokumentu: article
ISSN: 1990-2573
DOI: 10.2971/jeos.2008.08011
Popis: The Laser-Induced Breakdown Spectroscopy (LIBS) is an emerging technique with great potential in atomic elemental analysis in many areas, particularly, in space exploration. In this paper, an algorithm for automated identification of elements and measurements of their concentrations in rocks and soils, as well as its experimental validation are presented. The proposed approach is based on the artificial neural network (ANN). We demonstrate that the ANN algorithm works successfully for all major elements of geological interest tested on natural rock and soil samples.
Databáze: Directory of Open Access Journals