[1] Li Jincheng. Theory and Practice of High- Fidelity Color Reproduction[D]. Nanjing: Nanjing Forestry University, 2013: 35-39.

[2] Q Liu, X Wan, D Xie. Optimization of spectral printer modeling based on a modified cellular Yule- Nielsen spectral neugebauer model[J]. J Opt Soc Am A, 2014, 31(6):1284-1294.

[3] T Bugnon, R D Hersch. Recovering neugebauer colorant reflectances and ink-spreading curves from printed color images [J]. Color Research & Application, 2014, 39(3): 216-233.

[4] Chen Yiyi, Xu Haisong, Zhang Xiandou. Study of spectral reconstruction based on digital camera[J]. Acta Optica Sinica, 2009, 29(5): 1416-1419.

[5] Zou Wenhai, Xu Haisong, Wang Yong. Spectral reconstruction of images based on color scanner[J]. Acta Optica Sinica, 2007, 27(5): 859-863.

[6] He Songhua, Zhang Gang, Chen Qiao, et al.. Spectral characterization of multicolor printer based on BP neural network [J]. Packaging Engineering, 2014, 35(13): 110-115.

[7] Huang Zhiyu, Cao Yuheng. Estimation for SOC of LiFePO4 Li-ion battery based on GA-RBF neural network[J]. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition), 2013, 25(3): 412-417.

[8] Wang Mingze, Guan Xinhong, Yan Jifu, et al.. Stock forecast based on GA-RBF algorithm[J]. Journal of Liaoning Technical University (Natural Science), 2014, 33(7): 970-973.

[9] He Guoqing, Shi Shanshan, Zhao Qinyong. Optimization of preparation of octenylsuccinic sub-gelatinized gassava starch based on RBFNN-GA[J]. Journal of Chinese Institute of Food Science and Technology, 2013, 13(11): 77-82.

[10] Huang Fangliang, Zhou Ling, Ren Xinxin, et al.. Transformer temperature rising forecasting based on GA- RBF neural network[J]. Electrical Measurement & Instrumentation, 2012, 49(556): 1-4.

[11] Zhuo Jinwu. Application of MATLAB in Mathematical Modeling[M]. Beijing: Beijing University of Aeronautics and Astronautics Press, 2011: 99-107.