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

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.

Keywords

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

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Acknowledgements

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.

RIGHTS & PERMISSIONS

2017 Higher Education Press and Springer-Verlag Berlin Heidelberg