Application of Sanger Operator with Lateral Connection in Fitting Micro-Drill’s Main Lips
A new approach for straightness fitting of micro-drill’s main lips is proposed. While its chips are measured, micro-drill’s 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 self-adaptive 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.
Zhenyu Du and Bin Liu
D. Y. Ge et al., "Application of Sanger Operator with Lateral Connection in Fitting Micro-Drill’s Main Lips", Applied Mechanics and Materials, Vols. 26-28, pp. 1093-1098, 2010