Open AccessImprovement of the performances of a commercial hand-held laser-induced breakdown spectroscopy instrument for steel analysis using multiple artificial neural networks
Author(s) -
Francesco Poggialini,
Beatrice Campanella,
Stefano Legnaioli,
Stefano Pagnotta,
Simona Raneri,
Vincenzo Palleschi
Publication year - 2020
Publication title -
review of scientific instruments
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 165
eISSN - 1089-7623
pISSN - 0034-6748
DOI - 10.1063/5.0012669
Subject(s) - laser induced breakdown spectroscopy , calibration , artificial neural network , set (abstract data type) , spectroscopy , materials science , laser , computer science , acoustics , biological system , optics , artificial intelligence , mathematics , physics , statistics , quantum mechanics , programming language , biology
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