[2] M N PASSARO, A CUCCOVILLO, L VAIANI. Gyroscope technology and applications:a review in the industrial perspective. Sensor, 17, 2284-2306(2017).
[4] D M SHUPE. Thermally induced nonreciprocity in the fiber optic interferometer. Applied Optics, 19, 654-655(1980).
[7] J NAZIR, T VIVEK, J THANGARAJ. Temperature stabilization in fiber optic gyroscope for high altitude aircraft. Optik, 127, 9701-9710(2016).
[9] SEO Y B, YU H, YU M J, et al. Compensation method of gyroscope bias hysteresis err with temperature rate of temperature using neural wks[C]. 2018 18th ICCAS of IEEE, Daegwallyeong: IEEE, 2018.
[10] W WANG, X Y CHEN. Multiscale modeling of fiber optic gyroscope temperature drift based on improved ensemble empirical mode decomposition. Applied Optics, 57, 8443-8450(2018).
[12] V VAPNIK. Statistical learning theory, 401-492(1998).
[15] EBERHART R, KENNEDY J. A new optimizer using particle swarm they[C]. Proceedings of the Sixth International Symposium on Micro Machine Human Science, Nagoya: IEEE, 1995: 3943.
[16] EBERHART R, SHI Y. Particle swarm optimization: Developments, applications resources[C]. Proceedings of the 2001 Congress on Evolutionary Computation, Seoul: IEEE, 2001: 8186.
[17] M CLERC, J KENNEDY. The particle swarm-explosion, stability and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation, 6, 58-73(2002).
[18] J J LIANG, A K QIN, P N SUGANTHAN. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions. IEEE Transactions on Evolutionary Computation, 10, 281-295(2006).
