Infrared and Laser Engineering, Volume. 50, Issue 6, 20210029(2021)

Optical fiber network abnormal data detection algorithm based on deep learning

Yunpeng Liu1, Xiaoli Huo1, and Zhichao Liu2、*
Author Affiliations
  • 1College of Information Engineering, Jiaozuo University, Jiaozuo 454000, China
  • 2School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
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    References(16)

    [1] Liu Y X, Wang C Y, Wang C, et al. Online classification algorithm for uncertain data stream in big data[J]. Journal of Northeastern University (Natural Science Edition), 37, 1245-1249(2016).

    [2] Wang Hui, Zhang Cuiyu. Differences between network data mining algorithm based on improved genetic algorithm[J]. Computer Simulation, 32, 311-314(2015).

    [3] Zhang Taijiang, Li Yongjun, Zhao Shanghong, et al. Design of space optical backbone network simulation platform based on OPNET and STK[J]. Journal of Applied Optics, 40, 901-909(2019).

    [4] Jia Qi. Location and monitoring of fiber optic line faults[J]. China New Telecommunications, 19, 74(2017).

    [5] Yeung S, Russakovsky O, Jin N, et al. Every moment counts: dense detailed labeling of actions in complex videos[J]. International Journal of Computer Vision, 126, 375-389(2018).

    [6] Chen Yang, Zhao Shanghong, Wang Xiang, et al. BER analysis of high-altitude OFDM-FSO modulation system under exponentiated Weibull atmospheric turbulence model[J]. Laser & Infrared, 48, 832-837(2018).

    [7] Chen Y, Li L J. Very fast decision tree classification algorithm based on red-black tree for data stream with continuous attributes[J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 37, 86-90(2017).

    [8] Liu Yan, Wang Cunrui. An improved big data clustering method based on sampling fusion[J]. Microelectronics & Computer, 34, 17-21(2017).

    [9] Gu Xiaoqing, Jiang Yizhang, Wang Shitong. Zero-order TSK-type fuzzy system for imbalanced data classification[J]. Acta Automatica Sinica, 43, 1773-1788(2017).

    [10] Lee J, Lee S, Hwang I. Hybrid system modeling and estimation for arrival time prediction in terminal airspace[J]. Journal of Guidance Control & Dynamics, 39, 903-910(2016).

    [11] Zhou Hongqiang, Huang Lingling, Wang Yongtian. Deep learning algorithm and its application in optics[J]. Infrared and Laser Engineering, 48, 1226004(2019).

    [12] Huang X, Wang Z, Li Y, et al. Design of fuzzy state feedback controller for robust stabilization of uncertain fractional-order chaotic systems[J]. Journal of the Franklin Institute, 351, 5480-5493(2015).

    [13] Liu He, Wang Tao. Research on breakpoint fault detection method of optical fiber communication LAN[J]. Modern Electronics Technique, 40, 174-176(2017).

    [14] Ma Zongmei, Zhang Ruiping. Traffic anomaly identification of optical fiber communication based on big data background[J]. Laser Journal, 40, 75-78(2019).

    [15] Guan Lei, Hu Guangjun, Wang Zhuan. Research on network security situational awareness technology based on big data[J]. Netinfo Security, 1, 45-50(2016).

    [16] Guo H, Liu H, Wu C, et al. Logistic discrimination based on G-mean and F-measure for imbalanced problem[J]. Journal of Intelligent and Fuzzy Systems, 31, 1155-1166(2016).

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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

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    Paper Information

    Category: Optical communication and sensing

    Received: Jan. 18, 2021

    Accepted: --

    Published Online: Aug. 19, 2021

    The Author Email: Zhichao Liu (lzc@cust.edu.cn)

    DOI:10.3788/IRLA20210029

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