Li PING, Rong ZHAO, Bin YANG, Yang YANG, Xiao-long CHEN, Ying WANG. Inversion of Particle Size Distribution in Spectral Extinction Measurements Using PCA and BP Neural Network Algorithm[J]. Spectroscopy and Spectral Analysis, 2021, 41(11): 3639
- Spectroscopy and Spectral Analysis
- Vol. 41, Issue 11, 3639 (2021)
Fig. 1. Schematic diagram of extinction measurement principle
Fig. 2. BP Neural network model
Fig. 3. Distribution of extinction values with particle size and wavelength
Fig. 4. The correlation coefficient matrix of spectral extinction value
Fig. 5. The distribution of the comprehensive load coefficient with the wavelength
Fig. 6. Influence of the number of wavelengths on the estimation accuracy of the neural network
(a): BP neural network; (b): PCA-BP neural network
(a): BP neural network; (b): PCA-BP neural network
Fig. 7. Experimental system for PSD measurement by spectral extinction method
Fig. 8. Prediction results of PSD
(a): 500 nm; (b): 700 nm; (c): 900 nm;(d): 2.1 μm; (e): 5.1 μm; (f): 9.7 μm
(a): 500 nm; (b): 700 nm; (c): 900 nm;(d): 2.1 μm; (e): 5.1 μm; (f): 9.7 μm
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Table 1. Prediction results of different particle sizes
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Table 2. Predictionresults of different distributed parameters
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