Researching | Optical fiber network anomaly analysis algorithm based on Bayesian partition data mining

Infrared and Laser Engineering, Volume. 50, Issue 8, 20210121(2021)

Optical fiber network anomaly analysis algorithm based on Bayesian partition data mining

Yunpeng Liu¹, Xiaoli Huo¹, and Zhichao Liu^2、*

Author Affiliations

¹College of Information Engineering, Jiaozuo University, Jiaozuo 454000, China

²School of Optoelectronic Engineering, Changchun University of Science and Technology, Changchun 130000, China

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Fig. 1. Flow chart of data mining algorithm based on Bayesian partition

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Fig. 2. Comparison of recognition accuracy rate

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Fig. 3. Comparison of processing speed of different algorithms

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Fig. 4. Comparison of algorithms reliability

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Yunpeng Liu, Xiaoli Huo, Zhichao Liu. Optical fiber network anomaly analysis algorithm based on Bayesian partition data mining[J]. Infrared and Laser Engineering, 2021, 50(8): 20210121

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Paper Information

Category: Optical communication and sensing

Received: Apr. 6, 2021

Accepted: --

Published Online: Nov. 2, 2021

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

DOI:10.3788/IRLA20210121

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology