化工学报2018，Vol.69Issue(1)：464-471,8.DOI:10.11949/j.issn.0438-1157.20170841
用于催化裂化装置产率预测的Filter-Wrapper特征变量选择方法
Select Filter-Wrapper characteristic variables for yield prediction of fluid catalytic cracking unit
摘要
Abstract
Fluid catalytic cracking is an important means to improve quality of heavy oil.Proper mathematical models are required to investigate influence of operating conditions and raw material properties on product distribution.Selection of suitable input variables largely affects model performances.The input variable selection is currently dependent on understanding mechanisms of FCC process.From the viewpoint of data-driven modeling, a method of selecting Filter-Wrapper characteristic subset was proposed by combination of Filter method using classical RReliefF algorithm and Wrapper method using GA-SVR algorithm.With no requirement of prior FCC knowledge, this method chose input variables by spontaneous data-driven selection of characteristic variables.A model with good prediction accuracy and proper number of input variables was established by taking advantage of a FCCU operating data and selecting input variables for prediction model of the unit dry gas and coke yield.Present work can not only provide a method to variable selection in FCCU modeling and process analysis, but also extend to other industrial process analysis.关键词
模型简化/算法/遗传算法/特征选择/产率预测Key words
model reduction/algorithm/genetic algorithm/feature selection/yield prediction分类
化学化工引用本文复制引用
王杰,曹道帆,蓝兴英,高金森..用于催化裂化装置产率预测的Filter-Wrapper特征变量选择方法[J].化工学报,2018,69(1):464-471,8.基金项目
中国石油大学(北京)青年创新团队 C 计划项目(C201606). supported by Science Foundation of China University of Petroleum,Beijing (C201606). （北京）
