Acta Optica Sinica, Volume. 44, Issue 23, 2330003(2024)
Prediction of Brown Tide Algae Cell Density Based on Improved 2D-BLS with Unthresholded Recurrence Plots
Fig. 2. Fluorescence spectrum and microscopic image of algal solution. (a) Fluorescence spectrum; (b) microscopic image
Fig. 3. Structural similarity index of spectra corresponding to algal suspension with different cell density of spectral data under different embedding dimensions and delay times
Fig. 5. Comparison of the effect of traditional recursive graphs and no-threshold recursive graphs. (a) Traditional recursive graph of spectral sequence of algae suspension with different cell density; (b) no-threshold recursive graph of spectral sequence of algae suspension with different cell density
Fig. 8. Weights and heat visualization map. (a)(d) Lasso regression; (b)(e) Ridge regression; (c)(f) Elastic Net regression
Fig. 9. Scatterplot of measured and predicted values. (a) CNN-BLS; (b) 2D-BLS; (c) bias plots of true values and predicted values for two models
Fig. 10. Model prediction effect diagram. (a) 2D-BLS; (b) 2D-L2BLS; (c) 2D-ENBLS; (d) bias plots of true values and predicted values for three models
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Qiguang Zhu, Xiang Li, Junfei Liu, Zhiyang Dong, Ying Chen. Prediction of Brown Tide Algae Cell Density Based on Improved 2D-BLS with Unthresholded Recurrence Plots[J]. Acta Optica Sinica, 2024, 44(23): 2330003
Category: Spectroscopy
Received: Jul. 24, 2024
Accepted: Sep. 2, 2024
Published Online: Dec. 17, 2024
The Author Email: Zhu Qiguang (zhu7880@ysu.edu.cn)
CSTR:32393.14.AOS241343