Frontiers of Optoelectronics

, Volume 10, Issue 1, pp 62–69 | Cite as

Hybrid algorithm combining genetic algorithm with back propagation neural network for extracting the characteristics of multi-peak Brillouin scattering spectrum

  • Yanjun Zhang
  • Jinrui Xu
  • Xinghu Fu
  • Jinjun Liu
  • Yongsheng Tian
Research Article


In this study, a hybrid algorithm combining genetic algorithm (GA) with back propagation (BP) neural network (GA-BP) was proposed for extracting the characteristics of multi-peak Brillouin scattering spectrum. Simulations and experimental results show that the GA-BP hybrid algorithm can accurately identify the position and amount of peaks in multi-peak Brillouin scattering spectrum. Moreover, the proposed algorithm obtains a fitting degree of 0.9923 and a mean square error of 0.0094. Therefore, the GA-BP hybrid algorithm possesses a good fitting precision and is suitable for extracting the characteristics of multi-peak Brillouin scattering spectrum.


fiber optics Brillouin scattering spectrum genetic algorithm (GA) back propagation (BP) neural network multi-peak spectrum 


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This work was supported by the National Natural Science Foundation of China (Grant No. 61675176), the Natural Science Foundation of Hebei Province (No. F2014203125), the Science and Technology Support Program of Hebei Province (Nos. 15273304D and 14273301D), and the “XinRuiGongCheng” Talent Project of Yanshan University.


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Copyright information

© Higher Education Press and Springer-Verlag Berlin Heidelberg 2017

Authors and Affiliations

  • Yanjun Zhang
    • 1
  • Jinrui Xu
    • 1
  • Xinghu Fu
    • 1
  • Jinjun Liu
    • 2
  • Yongsheng Tian
    • 1
  1. 1.The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and EngineeringYanshan UniversityQinhuangdaoChina
  2. 2.Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Key Laboratory of Advanced Forging & Stamping Technology and Science, College of Mechanical EngineeringYanshan UniversityQinhuangdaoChina

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