The Study of Printing Thickness for Touch Panel by Using Neural Network
碩士 === 義守大學 === 電機工程學系碩士班 === 94 === In this thesis, the control of printing thickness for touch panel by using neural network technique is studied. The complex and nonlinear relationships among film thickness of touch panel and its printing parameters, such as ink type, ink viscosity, the length, h...
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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/80326442717283441182 |
Summary: | 碩士 === 義守大學 === 電機工程學系碩士班 === 94 === In this thesis, the control of printing thickness for touch panel by using neural network technique is studied. The complex and nonlinear relationships among film thickness of touch panel and its printing parameters, such as ink type, ink viscosity, the length, hardness and degree of scraper and so on, are expected to be defined by a well-trained neural model. The operator can easily set these related control parameters before the printing process is beginning. To demonstrate the ideal we have, several experiments are performed and reported.
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