Application of Sanger Operator with Lateral Connection in Fitting Micro-drills Main Lips
A new approach for straightness fitting of microdrills main lips is proposed. While its chips are measured, micro-drills projective images are collected with high precision automatic test system of PCB Micro-drill, and sub-pixel edge features are extracted. The sum of square distances from the coordinates of sample points to fitted line is taken as objective function. Then a Sanger neural network with lateral connection is designed, where a selfadaptive minor component extracting method is adopted. When the system comes to equilibrium, the eigenvector of minimum eigen value is the fitted line coefficient, from which chips of micro-drill main lips are obtained. The proposed approach is the novel application of Sanger neural network in straightness fitting.
Sanger neural network Micro-drill Main Lips Combined vector coordinates Eigen value Eigenvector
Dongyuan Ge Xifan Yao WenJiang Xiang Yingzhi Gu
School of Mechanical & Automotive Engineering, South China University of Technology,Guangzhou, China School of Mechanical & Automotive Engineering, South China University of Technology,Guangzhou, China Department of Mechanical and Energy Engineering, Shaoyang University, Shaoyang, China
国际会议
2010 International Conference on Advanced Mechanical Engineering(2010年先进机械工程国际学术会议 AME 2010)
洛阳
英文
1093-1098
2010-09-04（万方平台首次上网日期，不代表论文的发表时间）