• Opto-Electronic Engineering
  • Vol. 49, Issue 8, 210455 (2022)
Jie Ma1、2 and Zhiyong Wu1、2、*
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.12086/oee.2022.210455 Cite this Article
    Jie Ma, Zhiyong Wu. Research on CS-BP algorithm of tracking error prediction in fault diagnosis of photoelectric measurement system[J]. Opto-Electronic Engineering, 2022, 49(8): 210455 Copy Citation Text show less
    BP neural network fault diagnosis model diagram of photoelectric measurement system
    Fig. 1. BP neural network fault diagnosis model diagram of photoelectric measurement system
    Flow chart of BP neural network algorithm
    Fig. 2. Flow chart of BP neural network algorithm
    Flow chart of CS-BP algorithm
    Fig. 3. Flow chart of CS-BP algorithm
    CS-BP neural network fitness value change curve
    Fig. 4. CS-BP neural network fitness value change curve
    Relative error of BP neural network prediction
    Fig. 5. Relative error of BP neural network prediction
    Relative error of GA-BP neural network prediction
    Fig. 6. Relative error of GA-BP neural network prediction
    Relative error of CS-BP neural network prediction
    Fig. 7. Relative error of CS-BP neural network prediction
    Relative error of PSO-BP neural network prediction
    Fig. 8. Relative error of PSO-BP neural network prediction
    算法类别迭代次数平均相对误差/%
    BP708.81
    GA-BP315.53
    CS-BP103.96
    Table 1. Comparison of experimental results of three algorithms: CS-BP, GA-BP and BP
    Jie Ma, Zhiyong Wu. Research on CS-BP algorithm of tracking error prediction in fault diagnosis of photoelectric measurement system[J]. Opto-Electronic Engineering, 2022, 49(8): 210455
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