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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Artículos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/55097

Title: Convolutional neural network as a novel classification approach for laser-induced breakdown spectroscopy applications in lithological recognition
Author(s): Chen, J.
Pisonero Castro, Jorge
Chen, S.
Wang, X.
Fan, Q.
Duan, Y.
Issue date: 2020
Publisher version: http://dx.doi.org/10.1016/j.sab.2020.105801
Citation: Spectrochimica Acta - Part B Atomic Spectroscopy, 166, p. 105801- (2020); doi:10.1016/j.sab.2020.105801
Format extent: p. 105801-
URI: http://hdl.handle.net/10651/55097
ISSN: 0584-8547
Sponsored: The authors gratefully acknowledge the financial support from the National Major Scientific Instruments and Equipment Development Special Funds (No. 2011YQ030113 ). In addition, the authors would like to thank the agreement of “High-end foreign expert” between School of Mechanical Engineering, Sichuan University and Prof. Jorge Pisonero.
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