基于机器学习的印制电路板照相底版补偿系数预测

Prediction of shrinkage coefficient of PCB artwork on machine learning

内层芯板的涨缩直接影响高多层印制板的质量,文章采用机器学习的方法预测印制板照相底版补偿系数,通过算法设计、特征工程、数据建模,得到了照相底版补偿系数预测模型,编写了照相底版补偿系数预测软件。

The expansion and contraction of inner core board directly affects the quality of high multilayer PCB.This paper uses machine learning method to predict the expansion and contraction coefficient of PCB artwork.Through algorithm design,feature engineering and data modeling,the expansion and contraction coefficient prediction model and seasonal expansion and contraction correction model are obtained,and the artwork expansion and contraction coefficient prediction software is compiled and deployed.