[1] [1] Ni Zhifu, Chen Guangfu. Qun Drill—Ni Zhifu Drill ［M］. Shanghai: Shanghai Science and Technical Publisher, 1999. 1～19

[2] [2] F. C. Tien, C. H. Yeh, K H. Hsieh. Automated visual inspection for micro-drills in printed circuit board production ［J］. Int. J. Production Research, 2004, 2(12): 2477～2495

[3] [3] J. Y. Chen, B. Y. Lee, K. C. Lee et al.. Development and Implementation of a simplified tool measuring system ［J］. Meas. Sci. Rev., 2010, 10(4): 142～146

[4] [4] Hu Songli, Xu Liming, Xu Kaizhou et al.. Adaptive contour corner detection of micro-drill′s first facet ［J］. J. Shanghai Jiaotong University, 2009, 43(5): 825～829

[5] [5] Hu Songli. Machine Vision Based Precise Detection of PCB Micro-Drill′s Geometry Parameters ［D］. Shanghai: Shanghai Jiaotong University, 2009. 27～43

[6] [6] Zhang Wujie, Li Di, Ye Feng. Automatic optical inspection of mini-drill blade based on computer vision technology ［J］. J. South China University of Technology (Natural Science Edition), 2006, 34(11): 55～59

[7] [7] Zhang Wujie, Yang Yilu, Li Di et al.. Key algorithms of automatic image measurement system ［J］. Optics and Precision Engineering, 2007, 15(2): 294～301

[8] [8] Luo Ying. Measurement and Research on the Blade Flank of PCB Micro-Drill Based on Machine Vision ［D］. Chengdu: University of Electronic Science and Technology of China, 2008. 5～8

[9] [9] Li Xiuming, Shi Zhaoyao. An evaluation method for the roundness error based on curvature ［J］. Acta Metrologica Sinica, 2008, 29(2): 102～105

[10] [10] D. Y. Ge, X. F. Yao, W. J. Xiang. Application of BP neural network and genetic algorithm in testing of micro-drill′s rounded corner ［J］. Sensor Lett., 2011, 9(5): 1943～1947

[11] [11] Ge Dongyuan, Yao Xifan, Xiang Wenjiang. Fitting margin projection of micro-drill based on Sanger algorithm with lateral connection ［J］. Optics and Precision Engineering, 2011, 19(3): 567～572

[12] [12] A. Ngaopitakkul, C. Jettanasen. Selection of proper activation functions in back-propagation neural networks algorithm for identifying the phase with fault appearance in transformer windings［J］. International J. Innovative Computing, Information and Control, 2012, 8(6): 4299～4318

[13] [13] Ni Libin, Liu Jichang, Wu Yaoting et al.. Optimization of laser cladding process variables based on neural network and particle swarm optimization algorithms ［J］. Chinese J. Lasers, 2011, 38(2): 0203003

[14] [14] F. F. Li, D. L. Li, Y. G. Wei et al.. Dissolved oxygen prediction in apostichopus japonicus aquaculture ponds by BP neural network and AR model ［J］. Sensor Lett., 2010, 8(1): 95～101

[15] [15] Wu Chao, Wu Yiquan. Target detection in hyperspectral image using projection pursuit based on chaotic particle swarm optimization ［J］. Acta Optica Sinica, 2011, 31(12): 1211003

[16] [16] H. Zamzuri, A. C. Zolotas, R. M. Goodall et al.. Advances in tilt control design of high-speed railway vehicles: a study on fuzzy control methods ［J］. Int. J. Innovative Computing, Information and Control, 2012, 8(9): 6067～6080

[17] [17] R. Martinez-Soto, A. Rodriguez, O. Castillo et al.. Gain optimization for inertia wheel pendulum stabilization using particle swarm optimization and genetic algorithms ［J］. Int. J. Innovative Computing, Information and Control, 2012, 8(6): 4421～4430

[18] [18] Gong Fang, Zhang Xuewu, Sun Hao. Detection system for solar module surface defects based on constrained ICA model and PSO method ［J］. Acta Optica Sinica, 2012, 32(4): 0415002

[19] [19] Chang Wenping, Luo Xianjue. Fuzzy adaptive particle swarm optimization for optimal operation of cascaded hydropower station ［J］. J. Xi′an Jiaotong University, 2009, 43(6): 93～98

[20] [20] Zhang Xuanping, Du Yuping, Qin Guoqiang et al.. Adaptive particle swarm algorithm with dynamically changing inertia weight ［J］. J. Xi′an Jiaotong University, 2005, 39(10): 1039～1042

[21] [21] A. Asrari, D. S. Javan, M. H. Javidi et al.. Application of gray-fuzzy-Markov chain method for day-ahead electric load forecasting ［J］. Przeglad Elektrotechniczny (Electrical Review), 2012, 88(3b): 228～237

[22] [22] J. Canny. A computational approach to edge detection ［J］. IEEE Trans. Analysis and Machine Intelligence, 1986, 8(6): 679～698

[23] [23] Sun Nan, Zhang Liyan, Ye Nan et al.. Calibration of binocular stereo measurement system based on calibration cross ［J］. Acta Optica Sinica, 2012, 32(4): 0412001

[24] [24] Ge Dongyuan, Yao Xifan, Xiang Wenjiang. Application of BP neural network for measurement of twist-drill circularity errors ［J］. J. Wuhan University of Science and Technology, 2009, 32(4): 413～417

[25] [25] Xiang Wenjiang, Yao Xifan, Ge Dongyuan. Application of BP neural network in linear fitting of twist-drill main lips ［J］. Machine Tool & Hydraulics, 2010, 38(3): 21～24

[26] [26] D. Y. Ge, X. F. Yao, W. J. Xiang. Application of hopfield network integrating with SA operator in fitting of micro-drill′s main lips ［C］. Proceedings of the 8th World Congress on Intelligent Control and Automation, 2010. 5390～5394

[27] [27] D. Y. Ge, X. F. Yao, M. Q. Yu. Research on Hopfield network & simulated annealing in camera calibration ［J］. ICIC Express Lett., 2010, 4(4): 1257～1262