Surface-Enhanced Raman Spectroscopy Quantitative Analysis of Polycyclic Aromatic Hydrocarbons Based on Support Vector Machine Algorithm

Yang Chen; Xia Yan; Xu Zhang; Xiaofeng Shi; Jun Ma

doi:10.3788/CJL201946.0311005

Journals >Chinese Journal of Lasers >Volume 46 >Issue 3 >Page 0311005 > Article

Chinese Journal of Lasers
Vol. 46, Issue 3, 0311005 (2019)

Surface-Enhanced Raman Spectroscopy Quantitative Analysis of Polycyclic Aromatic Hydrocarbons Based on Support Vector Machine Algorithm

Yang Chen^*, Xia Yan, Xu Zhang, Xiaofeng Shi, and Jun Ma

Author Affiliations

Optics & Optoelectronics Laboratory, Ocean University of China, Qingdao, Shandong 266100, China

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DOI: 10.3788/CJL201946.0311005 Cite this Article Set citation alerts

Yang Chen, Xia Yan, Xu Zhang, Xiaofeng Shi, Jun Ma. Surface-Enhanced Raman Spectroscopy Quantitative Analysis of Polycyclic Aromatic Hydrocarbons Based on Support Vector Machine Algorithm[J]. Chinese Journal of Lasers, 2019, 46(3): 0311005 Copy Citation Text

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