文章摘要
偏最小二乘回归方法在橡胶配方设计中的应用
Application of partial least-squares regression in rubber formulation
  
DOI:
中文关键词: 偏最小二乘回归  橡胶配方设计  回归建模
英文关键词: partial least-squares regression  rubber formulation  regression modeling
基金项目:
作者单位
高立君 青岛科技大学 橡塑材料与工程教育部重点实验室 
辛振祥 青岛科技大学 橡塑材料与工程教育部重点实验室 
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中文摘要:
      分析采用回归分析方法在建立橡胶配方试验中考察因素和试验数据的二次多项式回归模型时存在的局限性,介绍应用偏最小二乘(PLS)回归方法建立二次多项式回归模型的技术,并通过实例演示PLS回归方法在橡胶配方设计中的应用。结果表明,PLS回归方法适应多因变量对多自变量的回归建模分析,结论可靠,整体性强。
英文摘要:
      The limitation of applying the regression method to establish the second-degree poly-nomial models in order to investigate influencing factors and experiment data in rubber formulation was analyzed,then the technology of applying partial least-squares(PLS) regression method to establish the second-degree polynomial models was presented,and its application in rubber formulation was demonstrated by examples.The results showed that PLS regression method was applicable to the regression modeling analyses of more dependent variables to more independent variables,and the conclusion was more credible.
Author NameAffiliation
GAO Li-jun Qingdao University of Science and Technology 
XIN Zhen-xiang Qingdao University of Science and Technology 
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