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

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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.

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DOI:10.1007/s12200-017-0654-3

所属栏目:RESEARCH ARTICLE

基金项目: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.

收稿日期:2016-06-03

修改稿日期:2016-11-26

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Yanjun ZHANG:The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
Jinrui XU:The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
Xinghu FU:The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China
Jinjun LIU:Hebei 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
Yongsheng TIAN:The Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China

联系人作者:Xinghu FU(fuxinghu@ysu.edu.cn)

备注:Xinghu Fu received his B.S. degree in Electronic Science and Technology (2004) and M.S. degree in Optical Engineering (2007) from Yanshan University, and Ph.D. degree in Communication and Information System (2011) from Shanghai University. After receiving his Ph.D. degree, he joined the Key Laboratory for Special Fiber and Fiber Sensor of Hebei Province, School of Information Science and Engineering, Yanshan University. His current research is focused on specialty fiber sensor and photoelectric detection.

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引用该论文

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): 62-69

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): 62-69

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