摘要
通过对含有8种微量元素和5种热轧工艺条件的CuPCrNi钢的数据,应用化学计量学方法(包括变量筛选及PLS回归等方法)进行处理,选出对钢性能影响较为显著的几种变量。
The data of CuPCrNi Steel includes 8 trace elements and 5 heat treatment parameters. Through the application of Chemometrics methods(including the variable dimension expansion and the variable selection method, PLS regression method and so on) , several primary variables, which influence the properties of the steel ,can be selected.Thus accurate prediction models to predict the properties of the steel can be built.
出处
《厦门大学学报(自然科学版)》
CAS
CSCD
北大核心
1999年第4期552-555,共4页
Journal of Xiamen University:Natural Science
基金
教育部留学回国人员科研启动经费
福建省自然科学基金