[1] Fan Yan'en, Wu Shuai, He Shengnan et al. . Research on current sensing technology using fiber Bragg grating demodulated by fiber Michelson interferometer[J]. Laser & Optoelectronics Process, 52, 080602(2015).

[2] Yu Youlong, Guan Boou, Dong Xiaoyi et al. Passive temperature induced wavelength-shift compensating technique for fiber Bragg grating force sensing[J]. Acta Optica Sinica, 20, 400-404(2000).

[3] Pei Li, Weng Sijun, Wu Liangying et al. Progress in optical fiber laser sensing system[J]. Chinese J Lasers, 43, 0700001(2016).

[4] Xu M G, Archambault J L, Reekie L et al. Discrimination between strain and temperature effects using dual-wavelength fibre grating sensors[J]. Electronics Letters, 30, 1085-1087(1994). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=294816

[5] Wang W, Jiang X, Yu Q. Temperature self-compensation fiber-optic pressure sensor based on fiber Bragg grating and Fabry-Perot interference multiplexing[J]. Optics Communications, 285, 3466-3470(2012). http://www.sciencedirect.com/science/article/pii/S0030401812003483

[6] Cao Bin, Ou Pan, Jia Ming et al. An innovative temperature-compensate package for fiber Bragg grating[J]. Chinese J Lasers, 35, 1959-1961(2008).

[7] Du Yanliang, Liu Chenxi, Li Jianzhi. Investigation into new optical-fiber-grating strain sensors based on temperature compensation[J]. Chinese Journal of Construction Machinery, 6, 19-22(2008).

[8] He Shaoling, Hao Fenghuan, Liu Pengfei et al. High precision fiber Bragg grating pressure sensor with real-time temperature compensation[J]. Chinese J Lasers, 42, 0605003(2015).

[9] Tong Zhengrong, Wang Jieyu, Yang Xiufeng et al. Simultaneous measurement of temperature and strain based on core diameter mismatch and fiber Bragg grating[J]. Acta Optica Sinica, 32, 1206001(2012).

[10] Li Jing, Liu Wei, Liu Jia et al. Simultaneous measurement of strain and temperature with fiber Bragg grating sensor based on artificial neural network[J]. Laser & Optoelectronics Process, 47, 062801(2010).

[11] Xu Zhaomei, Zhou Jianzhong, Huang Shu et al. Quality prediction of laser milling based on optimized back propagation networks by genetic algorithms[J]. Chinese J Lasers, 40, 0603004(2013).

[12] Hou Yuanbin, Du Jingyi, Wang Mei[M]. Neural networks, 35-38(2007).

[13] Liu K, Guo W, Shen X. et al. Research on the forecast model of electricity power industry loan based on GA-BP neural network[J]. Energy Procedia, 14, 1918-1924(2012). http://www.sciencedirect.com/science/article/pii/S187661021104608X

[14] Li H, Hu C, Li Y. Application of the purification of materials based on GA-BP[J]. Energy Procedia, 17, 762-769(2012). http://www.sciencedirect.com/science/article/pii/S1876610212005048

[15] Li Yuanzhi, Niu Guoqing, Liu Huiling. Application of improved GA-BP neural network on identification of water inrush source in mine[J]. Journal of Safety Science and Technology, 12, 77-81(2016).

[16] Wang Dongsheng, Yang Youwen, Tian Zongjun et al. Process optimization of thick nanostructured ceramic coating by laser multi-layer cladding based on neural network and genetic algorithm[J]. Chinese J Lasers, 40, 0903001(2013).