Intelligent ink presetting technique based on artificial neural networks - 文章详情页

作者：

Zan, Tao (Zan, Tao.) | Wang, Min (Wang, Min.) (学者：王民) | Cui, Xiao-Guang (Cui, Xiao-Guang.) | Fei, Ren-Yuan (Fei, Ren-Yuan.)

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摘要：

In　order　to　improve　the　ink-presetting　precision　in　the　different　printing　parameters　and　printing　environment,　in　this　paper　a　novel　approach　using　ANN　technique　is　presented.　For　precision　and　rapid　ink-presetting　in　the　digital　printing　process,　with　the　actual　qualified　printing　products　as　training　samples,　the　printing　parameters　and　dot　area　percentage　as　input　characteristic　values　and　actual　ink　key　values　as　ANN　output,　a　three-layer　BP　network　is　selected　to　establish　the　mapping　between　the　graph-text　information　and　the　values　of　the　ink　key.　The　experiment　result　shows　that　this　method　can　shorten　the　adjusting　time　of　the　offset　press　effectively,　improve　the　printing　efficiency　and　reduce　production　cost.

关键词：

Presses (machine tools) Offset printing Neural networks Digital printing Network layers

作者机构：

[ 1 ] [Zan, Tao]The Key Laboratory of Beijing Municipality on Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
[ 2 ] [Wang, Min]The Key Laboratory of Beijing Municipality on Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Cui, Xiao-Guang]The Key Laboratory of Beijing Municipality on Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
[ 4 ] [Fei, Ren-Yuan]The Key Laboratory of Beijing Municipality on Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

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