• Infrared and Laser Engineering
  • Vol. 50, Issue 10, 20210185 (2021)
Wenjun Wang1 and Na Xu2
Author Affiliations
  • 1School of Engineering Management, Shanxi Vocational University of Engineering and Scientific, Jinzhong 030619, China
  • 2School of Art, Yanching Institute of Technology, Langfang 065201, China
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    DOI: 10.3788/IRLA20210185 Cite this Article
    Wenjun Wang, Na Xu. An improved machine learning algorithm for optical fiber network path optimization[J]. Infrared and Laser Engineering, 2021, 50(10): 20210185 Copy Citation Text show less
    System structure model
    Fig. 1. System structure model
    Flow chart of network path optimization algorithm based on machine learning
    Fig. 2. Flow chart of network path optimization algorithm based on machine learning
    Comparison of algorithm execution parameters
    Fig. 3. Comparison of algorithm execution parameters
    Data flow percentage typeProposed algorithmK-means algorithm
    PcPfPcPf
    Case 191.6%1.14%80.2%6.21%
    Case 293.4%1.23%83.5%4.56%
    Case 398.2%0.54%98.1%0.68%
    Case 495.4%0.83%89.2%2.45%
    Case 594.7%0.92%85.7%4.13%
    Case 694.1%0.97%84.6%5.31%
    Mean94.6%0.94%84.6%3.89%
    Table 1. Data accuracy and false positive rate under the conditions of different data streams
    Wenjun Wang, Na Xu. An improved machine learning algorithm for optical fiber network path optimization[J]. Infrared and Laser Engineering, 2021, 50(10): 20210185
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