• Frontiers of Optoelectronics
  • Vol. 10, Issue 1, 62 (2017)
Yanjun ZHANG1, Jinrui XU1, Xinghu FU1、*, Jinjun LIU2, and Yongsheng TIAN1
Author Affiliations
  • 1The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
  • 2Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Key Laboratory of Advanced Forging & Stamping Technology and Science, College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
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    DOI: 10.1007/s12200-017-0654-3 Cite this Article
    Yanjun ZHANG, Jinrui XU, Xinghu FU, Jinjun LIU, Yongsheng TIAN. Hybrid algorithm combining genetic algorithm with back propagation neural network for extracting the characteristics of multi-peak Brillouin scattering spectrum[J]. Frontiers of Optoelectronics, 2017, 10(1): 62 Copy Citation Text show less

    Abstract

    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.
    Yanjun ZHANG, Jinrui XU, Xinghu FU, Jinjun LIU, Yongsheng TIAN. Hybrid algorithm combining genetic algorithm with back propagation neural network for extracting the characteristics of multi-peak Brillouin scattering spectrum[J]. Frontiers of Optoelectronics, 2017, 10(1): 62
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