Rapid classification of copper concentrate by portable laser-induced breakdown spectroscopy combined with transfer learning and deep convolutional neural network

Haochen Li; Tianyuan Liu; Yuchao Fu; Wanxiang Li; Meng Zhang; Xi Yang; Di Song; Jiaqi Wang; You Wang; Meizhen Huang

doi:10.3788/COL202321.043001

Journals >Chinese Optics Letters >Volume 21 >Issue 4 >Page 043001 > Article

Chinese Optics Letters
Vol. 21, Issue 4, 043001 (2023)

Rapid classification of copper concentrate by portable laser-induced breakdown spectroscopy combined with transfer learning and deep convolutional neural network

Haochen Li¹, Tianyuan Liu^2、*, Yuchao Fu¹, Wanxiang Li¹, Meng Zhang³, Xi Yang³, Di Song³, Jiaqi Wang³, You Wang³, and Meizhen Huang¹

Author Affiliations

¹Department of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

²Department of Electrical Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

³Southwest Institute of Technical Physics, Chengdu 610041, China

show less

DOI: 10.3788/COL202321.043001 Cite this Article Set citation alerts

Haochen Li, Tianyuan Liu, Yuchao Fu, Wanxiang Li, Meng Zhang, Xi Yang, Di Song, Jiaqi Wang, You Wang, Meizhen Huang. Rapid classification of copper concentrate by portable laser-induced breakdown spectroscopy combined with transfer learning and deep convolutional neural network[J]. Chinese Optics Letters, 2023, 21(4): 043001 Copy Citation Text

EndNote(RIS)

BibTex

Plain Text

show less

Cited By

Article index updated: Mar. 8, 2024

Citation counts are provided from Web of Science. The counts may vary by service, and are reliant on the availability of their data.