Mingming Liu, Desheng Kong, Yuyan Xiang, Fengyuan Zhao, Jing Zhang, Ruipeng Zhang, Yamin Gao, Chenhao Zhi, Yue Liu, Maoqiang Xie, Zhi Zhang, Lu Sun, Xing Zhao, Nan Zhang, Weiwei Liu. Quantitative Analysis of NaCl Aerosols Based on Convolutional Neural Network and Filament‐Induced Fluorescence Spectroscopy[J]. Chinese Journal of Lasers, 2023, 50(7): 0708007
- Chinese Journal of Lasers
- Vol. 50, Issue 7, 0708007 (2023)
Fig. 1. Schematic of filament-induced fluorescence spectrum (FIFS) collection device
Fig. 2. Filament induced by femtosecond laser in NaCl aerosol
Fig. 3. Filament-induced fluorescence spectra of NaCl aerosol with five mass concentrations near 589 nm
Fig. 4. Calibration regression curve of NaCl aerosol’s filament-induced fluorescence spectra
Fig. 5. Architecture of one-dimensional CNN for predicting mass concentration of NaCl aerosol
Fig. 6. Prediction comparison of each model in full and characteristic spectra. (a)-(d) Full spectrum; (e)-(h) characteristic spectrum
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Table 1. Mass concentration prediction results for full spectral data
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Table 2. Mass concentration prediction results for characteristic spectral data
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Table 3. Generalized prediction experimental results for full spectral data
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Table 4. Generalized prediction experimental results for characteristic spectral data
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Table 5. Generalized prediction experimental results of 1D-CNN in characteristic spectral data
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