Testing of rounded corner for micro-drill on hybrid of BP neural network and adaptive particle swarm optimization

Journal of Computers

Volumn 7, Issue 5, 2012, Pages 1116-1121

  Xiang, Wen Jiang ^a   Gu, Ying Zhi ^a   Ge, Dong Yuan ^b  

^a SHAOYANG UNIVERSITY   (China)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

BP neural network; Margin projection; Micro drill; Particle swarm optimization; Rounded corner

Indexed keywords

ADAPTIVE PARTICLE SWARM OPTIMIZATIONS; BP NEURAL NETWORKS; ELLIPSE FITTING; EXPRESSION COEFFICIENTS; FITTING EQUATIONS; GLOBAL OPTIMAL SOLUTIONS; GRADIENT DESCENT METHOD; HIGH PRECISION; IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHMS; INPUT NEURONS; MARGIN PROJECTION; MICRO DRILLS; MUTATION OPERATORS; OUTPUT NEURONS; PARTICLE SWARM OPTIMIZATION ALGORITHM; PERFORMANCE INDICES; POINT COORDINATES; ROUNDED CORNERS; SOLVING METHOD; STABLE WEIGHT;

ALGORITHMS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO);

DRILLS;

EID: 84860288315     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.7.5.1116-1121     Document Type: Article

References (15)

1. F. C. Tien, C. H. Yeh, Hsieh K H. "Automated visual inspection for micro-drills in printed circuit board production". International Journal of Production Research, 2004, vol 2, December 2004, pp. 2477-2495.
2. S. L. HU. Machine Vision Based Precise Detection of PCB Micro-Drill's Geometry Parameters [D]. Shanghai: Shanghai Jiao Tong University. 2009.9, pp. 27-43.
3. S. L. HU, L. M. XU, K. Z. XU, et al. "Adaptive Contour Corner Detection of Micro-drill's First Facet ". Journal of Shanghai Jiao Tong University. 2009, vol. 43, May 2009, 825-829.
4. X.M. LI, S Z. Y. HI. "An Evaluation Method for the Roundness Error Based on Curvature". Acta Metrologica Sinica, vol.29, April 2008, pp. 102-105.(In Chinese)
5. J. Y, Chen, S.H. Chang, S.W. Leu. "Adaptive BP neural network (ABPNN) based PN code acquisition system via recursive accumulator". Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002, pp. 737-745.
6. X. F. Yao, Z. T. Lian, D. Y Ge, et al. "Approaches to Model and Control Nonlinear/Uncertain Systems by RBF Neural Networks". International Journal of Innovative Computing, Information and Control, 2011, vol. 7, February 2011, pp. 941-954.
7. Sheng Chen, Xia Hong, and Chris J. Harris. "Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling". IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, vol. 14, April 2010, pp. 477-499.
8. H. C. Lee, S. K. Park, J.S. Choi, and B. H. Lee, "An Improved Fast SLAM Framework using Particle Swarm Optimization"]. Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics, 2005, 3(2): pp. 211-216.
9. X. P. ZHANG, Y. P. DU, G. Q. QIN, et al. "Adaptive Particle Swarm Algorithm with Dynamically Changing Inertia Weight, "JOUNAL of XI'AN JIAOTONG UNIVERSITY, 2005, October 2005, pp.1039-1042.
10. Wang L., X. T. Wang, J. Q Fu, L. L. Zhen. "A novel probability binary particle swarm optimization algorithm and its application, "Journal of Software, Vol.3, 2008, pp. 28-35.
11. L. L. LIU, S. X. YANG, D. W. WANG. "Particle Swarm Optimization with Composite Particles in Dynamic Environment". IEEE Trans. on Systems, Man, and Cybernetics-Part B: Cybernetics, vol.40, December 2010, pp. 1634-1648.
12. J. Canny. A Computational Approach to Edge Detection [J]. IEEE. Transactions on Analysis and Machine Intelligence, vol. 8, June 1986, pp. 679-698.
13. D.Y. GE, X. F. YAO and M. Q. YU. "Camera Calibration by Hopfield Neural Network and Simulated Annealing Algorithm, "ICIC-Express Letters, vol.4, August 2010, pp. 1257-1262.
14. D. Y. GE, X. F. YAO, W. J. XIANG. Application of BP neural network for measurement of twist-drill circularity errors. Journal of Wuhan University of Science and Technology, vol. 32, August 2009, pp. 413-417. (In Chinese)
15. W. J. XIANG, X. F. YAO, D. Y. GE. Application of BP Neural Network in Linear Fitting of Twist-Drill Main Lips. Machine Tool & Hydraulics, vol. 38, March 2010, pp. 21-24. (In Chinese)