Application of Back-Propagation Neural Network for BGA Inspection System
碩士 === 國立臺灣科技大學 === 自動化及控制研究所 === 92 === The main purpose of this research is to apply back-propagation neural network and computer vision to develop a two-dimension BGA (Ball Grid Array) defect inspection system. By using this system, the automatic inspection via computer vision can reduce the huma...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2004
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Online Access: | http://ndltd.ncl.edu.tw/handle/64028445868082588821 |