Application of Back-Propagation Neural Network for Inspection and Measurement of BGA Shape Defects
碩士 === 龍華科技大學 === 機械系碩士班 === 94 === This study is mainly utilizing Back-Propagation Neural Network technology to identify the shape of defective tin ball and to promote the accuracy of the inspection. By developing two dimensional BGA optical inspecting system, incorporate with Halcon which develo...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/77308125722189831379 |