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

Qiguang Zhu1、*, Xiang Li1, Junfei Liu2, Zhiyang Dong2, and Ying Chen2
Author Affiliations
  • 1Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, Hebei , China
  • 2Hebei Province Key Laboratory of Test/Measurement Technology and Instrument, School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei , China
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    Figures & Tables(12)
    Schematic diagram of experimental procedure
    Fluorescence spectrum and microscopic image of algal solution. (a) Fluorescence spectrum; (b) microscopic image
    Structural similarity index of spectra corresponding to algal suspension with different cell density of spectral data under different embedding dimensions and delay times
    Correspondence of full-spectrum spectral transformations
    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
    Schematic diagram of 2D-BLS
    2D-ENBLS module
    Weights and heat visualization map. (a)(d) Lasso regression; (b)(e) Ridge regression; (c)(f) Elastic Net regression
    Scatterplot of measured and predicted values. (a) CNN-BLS; (b) 2D-BLS; (c) bias plots of true values and predicted values for two models
    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
    • Table 1. Comparison and analysis on different prediction models

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      Table 1. Comparison and analysis on different prediction models

      ModelPhaseR2Time t /sRMSEMAE
      CNN-BLSTraining0.97590.646300.09790.0126
      Testing0.96860.009970.02180.0151
      2D-BLSTraining0.98360.035800.03790.0107
      Testing0.97990.002640.01850.0181
    • Table 2. Comparison experiment

      View table

      Table 2. Comparison experiment

      ModelPhaseR2Time t /sRMSEMAE
      2D-BLSTraining0.98360.0358000.037900.0107
      Testing0.97990.0026400.018500.0181
      2D-L2BLSTraining0.99250.0767530.009260.0068
      Testing0.99470.0019940.012610.0079
      2D-ENBLSTraining0.99930.0167530.005260.0035
      Testing0.99950.0015530.006610.0036
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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

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    Paper Information

    Category: Spectroscopy

    Received: Jul. 24, 2024

    Accepted: Sep. 2, 2024

    Published Online: Dec. 17, 2024

    The Author Email: Zhu Qiguang (zhu7880@ysu.edu.cn)

    DOI:10.3788/AOS241343

    CSTR:32393.14.AOS241343

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