Infrared and Laser Engineering, Volume. 50, Issue 6, 20210029(2021)
Optical fiber network abnormal data detection algorithm based on deep learning
Figures & Tables(4)
Fig. 3. Convergence time of the three algorithms for different data sets
Table 1. Statistical table of test abnormal data volume and actual abnormal data volume
View tableView in ArticleTable 1. Statistical table of test abnormal data volume and actual abnormal data volume
Test time/s Actual abnormal data Test abnormal data GA CA DL-GA Test value Relative error Test value Relative error Test value Relative error 5 106 131 0.236 135 0.274 113 0.066 10 168 193 0.149 199 0.185 178 0.059 15 214 245 0.145 236 0.103 203 0.051 20 259 283 0.088 279 0.077 268 0.035 25 384 422 0.093 424 0.104 395 0.029 30 410 448 0.094 451 0.101 421 0.028 35 467 510 0.092 512 0.098 480 0.029 40 515 562 0.093 565 0.097 531 0.031 45 539 590 0.095 594 0.102 553 0.027 50 621 679 0.094 681 0.098 639 0.029
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Yunpeng Liu, Xiaoli Huo, Zhichao Liu. Optical fiber network abnormal data detection algorithm based on deep learning[J]. Infrared and Laser Engineering, 2021, 50(6): 20210029
Paper Information
Category: Optical communication and sensing
Received: Jan. 18, 2021
Accepted: --
Published Online: Aug. 19, 2021
The Author Email: Liu Zhichao (lzc@cust.edu.cn)
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