偏最小二乘回归在高炉焦比影响因素分析中的应用  

Application of partial least squares regressive model in analyzing impact factors of coke ratio in blast furnace

作　　者：李荣华 邓蓬 杨玻 

机构地区：[1]重钢股份公司技术中心

出　　处：《重钢技术》2017年第1期11-15,共5页CISC Technology

摘　　要：高炉焦比的影响因素之间通常存在显著的相关性，为克服影响因素之间的相关性，本文采用偏最小二乘法建立回归模型。基于偏最小二乘回归法建立了14成分模型，通过比较标准回归系数，可分析各因素对焦比的影响程度，同时根据回归系数，建立了焦比线性回归方程。The marked relativity usually exists among the impact factors of coke ratio in BF,in order to overcome the relativity between the impact factors,this article establishes regression model by the way of partial least squares. Based on partial least squares,the model for 14 kinds of composition is built.The efect degree of each factor on coke ratio are analyzed according to compare standard regression coeficient, and establish the linear regression equation of coke ratio according to regression coeficient.

关 键 词：高炉焦比 偏最小二乘法(PLS) 回归分析 

分 类 号：O657.3[理学—分析化学]