Infrared and Laser Engineering, Volume. 50, Issue 10, 20210185(2021)

An improved machine learning algorithm for optical fiber network path optimization

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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    Figures & Tables(4)
    System structure model
    Flow chart of network path optimization algorithm based on machine learning
    Comparison of algorithm execution parameters
    • Table 1. Data accuracy and false positive rate under the conditions of different data streams

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      Table 1. Data accuracy and false positive rate under the conditions of different data streams

      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%
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    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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    Paper Information

    Category: Optical communication and sensing

    Received: Mar. 18, 2021

    Accepted: --

    Published Online: Dec. 7, 2021

    The Author Email:

    DOI:10.3788/IRLA20210185

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