Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 1, 62(2024)

On-road high-emitter identification method based on mixed kernel extreme learning machine

DUAN Peijie1,2, LI Zerui2、*, LI Kun3, XU Zhenyi2, LYU Zhao4, and KANG Yu2,3
Author Affiliations
  • 1School of Artificial Intelligence, Anhui University, Hefei 230601, China
  • 2Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei 230088, China
  • 3Institute of Advanced Technology, University of Science and Technology of China, Hefei 230088, China
  • 4School of Computer Science and Technology, Anhui University, Hefei 230601, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (6)
    Equations (0)
    References (19)
    Tools
    Paper Information
    Topics
    Figures & Tables(6)
    Diagram of on-road remote sensing detection equipment

    Fig. 1. Diagram of on-road remote sensing detection equipment

    Download full size
    View in Article
    Diagram of ELM network structure

    Fig. 2. Diagram of ELM network structure

    Download full size
    View in Article
    Visualization diagram of data distribution after dimensionality reduction using t-SNE

    Fig. 3. Visualization diagram of data distribution after dimensionality reduction using t-SNE

    Download full size
    View in Article
    Diagram of KELM decision region with four different kernel functions. (a) Polynomial kernel function; (b) Sigmoid kernel function; (c) Gaussian kernel function; (d) Laplacian kernel function

    Fig. 4. Diagram of KELM decision region with four different kernel functions. (a) Polynomial kernel function; (b) Sigmoid kernel function; (c) Gaussian kernel function; (d) Laplacian kernel function

    Download full size
    View in Article
    Diagram of MKELM decision region with four different mixed kernel functions. (a) Gaussian-Gaussian mixed kernel function; (b) Laplacian-Laplacian mixed kernel function; (c) Gaussian-Laplacian mixed kernel function

    Fig. 5. Diagram of MKELM decision region with four different mixed kernel functions. (a) Gaussian-Gaussian mixed kernel function; (b) Laplacian-Laplacian mixed kernel function; (c) Gaussian-Laplacian mixed kernel function

    Download full size
    View in Article

    • Table 1. Comparison of identification results of eight methods

      View table
      View in Article

      Table 1. Comparison of identification results of eight methods

      MethodSF1/%RFA/%RMA/%
      SVM79.40 ± 2.2417.87 ± 4.7622.44 ± 7.98
      RF78.48 ± 3.8315.88 ± 7.5925.94 ± 5.45
      ELM58.50 ± 4.8240.00 ± 11.0741.44 ± 4.58
      KELM (G)79.86 ± 4.7320.00 ± 8.3819.53 ± 7.15
      KELM (L)79.74 ± 4.5319.78 ± 8.3320.01 ± 6.81
      MKELM (G+G)81.10 ± 1.7616.48 ± 4.9220.78 ± 4.85
      MKELM (L+L)80.59 ± 3.3515.86 ± 6.7722.20 ± 5.46
      MKELM (G+L)81.40 ± 2.5615.50 ± 5.2221.10 ± 5.14
    Tools

    Get Citation

    Copy Citation Text

    Peijie DUAN, Zerui LI, Kun LI, Zhenyi XU, Zhao LYU, Yu KANG. On-road high-emitter identification method based on mixed kernel extreme learning machine[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(1): 62

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category:

    Received: Jun. 20, 2022

    Accepted: --

    Published Online: Mar. 19, 2024

    The Author Email: LI Zerui (lizr@iai.ustc.edu.cn)

    DOI:10.3969/j.issn.1673-6141.2024.01.005

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology