[2] Lefvre H C. The Fiber-Optic Gyroscope: Challenges to Become The Ultimate Rotation-Sensing Technology [M]. Optical Fiber Technology, 2013, 19(6): 828-832.
[3] Jin J, Wang Z, Zhang Z G, et al. Temperature errors modeling for fiber optic gyroscope using multiple linear regression models [J]. J. of Astronautics, 2008, 29(6): 1912-1916.
[7] Vapnik V. Statistical Learning Theory [M]. New York: Wiley,1998.
[10] SeoY B, Yu H, Yu M J, et al. Compensation method of gyroscope bias hysteresis error with temperature and rate of temperature using neural networks [C]// 18th Inter. Conf. on Control, Automation and Systems(ICCAS), 2018: 1072-1076.
