摘要
本文聚焦机器学习算法中的线性回归在海关棉花实验室数据分析中的应用。通过对Excel和Python这2种技术路线,对调湿平衡前后,2种轧工方式的棉花样品马克隆值的测试结果进行线性回归分析,生成线性回归模型,取得较好的预测成效。
This paper focuses on the application of linear regression in machine learning algorithm in data analysis of customs cotton laboratory.The linear regression analysis was carried out on the test results of micronaire value of roller ginn cotton samples before and after humidification balance by Excel and Python technical routes,and the linear regression model was generated,which achieved better prediction results.
作者
乔龙
王宏
郝红娟
QIAO Long;WANG Hong;HAO Hongjuan(Binzhou Customs of the People's Republic of China,Binzhou Shandong,China;Binzhou Laboratory of Ji'nan Customs Technology Center)
出处
《质量安全与检验检测》
2022年第3期141-143,共3页
QUALITY SAFETY INSPECTION AND TESTING
基金
济南海关2020年度科研项目(2020JK009)。
