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dc.contributor.author李静
dc.contributor.author章元
dc.contributor.author朱尔一
dc.date.accessioned2016-05-17T02:56:43Z
dc.date.available2016-05-17T02:56:43Z
dc.date.issued1999
dc.identifier.citation厦门大学学报(自然科学版),1999,(4):72-75
dc.identifier.issn0438-0479
dc.identifier.otherXDZK904.012
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/107819
dc.description.abstract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,从而建立起预报CuPCrnI钢性能的准确的预报模型
dc.description.abstractThe 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.
dc.description.sponsorship教育部留学回国人员科研启动经费;福建省自然科学基金
dc.language.isozh_CN
dc.subject变量筛选
dc.subjectPLS回归
dc.subject
dc.subject微量元素
dc.subjectVariable selection
dc.subjectPLS regression
dc.subjectTrace element
dc.subjectSteel
dc.title正交递归方法用于研究钢中微量元素对钢的力学性能的影响
dc.title.alternativeMulti variable Analysis Method Used for Studying Influence of Trace Elements in Steel on its Mechanical Properties
dc.typeArticle


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