智能建模中化工数据的预处理  

On Pretreatment Problem of Chemical Data in Intelligent Modeling

作　　者：李翠英[1,2] 

机构地区：[1]重庆大学,重庆400030 [2]重庆科技学院,重庆401331

出　　处：《重庆科技学院学报（自然科学版）》2012年第2期156-158,共3页Journal of Chongqing University of Science and Technology：Natural Sciences Edition

摘　　要：阐述智能建模中对化工数据进行预处理的过程,介绍决策变量的选择、数据的采集、数据的去噪、数据的降维等预处理方法。仿真实验显示,数据进行有效的预处理后,其泛化能力强,模型精度有所提高。This paper introduces the intelligent modeling in the chemical data pretreatment process,introduces the choice of the decision variables,data acquisition,data pretreatment methods such as the dimension reduction.Through the simulation experiment,it shows that the pretreatment of the data effectively,its generalization ability becomes stronger,and the precision of the model is improved.

关 键 词：数据预处理 3σ准则 五点三次平滑法 

分 类 号：TQ019[化学工程]