Paper Title:
Application of Sanger Operator with Lateral Connection in Fitting Micro-Drill’s Main Lips
  Abstract

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.

  Info
Periodical
Edited by
Zhenyu Du and Bin Liu
Pages
1093-1098
DOI
10.4028/www.scientific.net/AMM.26-28.1093
Citation
D. Y. Ge, X. F. Yao, W. J. Xiang, Y. Z. Gu, "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
Online since
June 2010
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