Journal of Applied Optics, Volume. 43, Issue 3, 466(2022)
Application of aerosol fluorescence spectrum recognition based on deep learning
Figures & Tables(10)
Fig. 1. Schematic diagram of fluorescence spectrometer system structure
Fig. 2. Fluorescence spectra of staphylococcus aureus, pollen, NADH, vitamin B2, cosmetics and cigarettes
Table 1. Accuracy of fluorescence spectrum classification by different methods
% View tableView in ArticleTable 1. Accuracy of fluorescence spectrum classification by different methods
% 方法 算法网络 输入形式 ACCc ACCv ACCp 深度学习 PCANeta 向量 99.94 84.31 84.13 CNNa 99.56 94.93 94.58 FCNa 97.65 94.03 94.13 PCANetb 矩阵 99.63 96.11 96.61 CNNb 99.91 98.17 98.05 FCNb 97.64 94.97 95.01 机器学习 RF 向量 94.68 87.88 82.01 KNN 94.93 91.06 90.75 SVM 94.96 92.97 92.76
Table 2. Accuracy of concentration prediction of biological components in fluorescence spectrum by different methods
% View tableView in ArticleTable 2. Accuracy of concentration prediction of biological components in fluorescence spectrum by different methods
% 方法 算法网络 输入形式 ACCc ACCv ACCp 深度学习 PCANet a 向量 95.24 95.67 96.07 CNNa 95.99 96.03 94.07 FCNa 96.73 96.74 96.84 PCANetb 矩阵 97.89 97.99 97.35 CNNb 97.65 96.99 97.03 FCNb 98.97 98.13 97.93 机器学习 LR 向量 94.99 93.86 93.98 RF 93.89 94.87 94.87 PLSR 95.94 94.81 94.91
Tools
Get Citation
Copy Citation Text
Xuecheng ZHANG, Shangzhong JIN, Tianqi ZHAO, Fei ZHANG, Yi CHEN. Application of aerosol fluorescence spectrum recognition based on deep learning[J]. Journal of Applied Optics, 2022, 43(3): 466
Paper Information
Category: OPTICAL METROLOGY AND MEASUREMENT
Received: Feb. 21, 2022
Accepted: --
Published Online: Jun. 7, 2022
The Author Email: ZHAO Tianqi (18a0402151@cjlu.edu.cn)
© Copyright 2018-2021 | Chinese Laser Press.
All Rights Reserved 沪ICP备15018463号-20