TSRC, Tob. Sci. Res. Conf., 2022, 75, abstr. 130
Research on XGBoost model based machine learning inverse prediction algorithm for tar quantification
ZHOU Jian(1); LIU Yanju(1); LI Xiaopeng(1); SHI Fengcheng(1); ZHANG Xiaolin(1); HUANG Xin(1); ZOU Yuanwen(2); HE Gang(3); NIE Cong(4); SUN Xuehui(4)
(1) China Tobacco Sichuan Industrial, Chengdu, Sichuan, China; (2) Sichuan University, Chengdu, Sichuan, China; (3) Southwest University of Science and Technology, Mianyang, Sichuan, China; (4) Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
Machine learning can acquire knowledge efficiently and has become a research hotspot in the field of artificial intelligence. Among them, the machine learning algorithm based on the XGBoost model has many advantages such as high computational...