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...
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| Veröffentlicht in: | Applied Mechanics and Materials 2010-06, Vol.26-28, p.1093-1098 |
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| container_title | Applied Mechanics and Materials |
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| creator | Yao, Xi Fan Xiang, Wen Jiang Gu, Ying Zhi Ge, Dong Yuan |
| description | 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. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.26-28.1093 |
| format | Article |
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| title | Application of Sanger Operator with Lateral Connection in Fitting Micro-Drill’s Main Lips |
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