QQ客服 官方微博 反馈留言

	人发微量元素与性别关系的模式识别分类研究; Classification Study by Pattern Recognition on the Relationship Between the Trace Elements in Human Hair and Sex
	章元 ; 朱尔一 ; 庄峙厦 ; 李波 ; 王小如
	1998
关键词	变量筛选 PLS回归 微量元素 Model selection PLS regression Trace element
英文摘要	通过对人发样品中22种元素含量的数据进行变量扩维及压缩筛选处理，选出了影响性别判断较显著的变量，用PlS法处理这些变量组成的数据，得到男性与女性分类清晰的二维判别图及预报模型，并根据所建立的预报模型及人发微量元素的含量判别人的性别，准确率为81%.; The data of 22 trace elements concentrations in human hair samples were obtained by ICP AES and GFAAS.The variables which have significant influence on discriminating the sex are selected through the treatment of the concentration data by the variable dimension expansion and the variable selection methods.The discrimination plane figure with the good classification is obtained through the treatment of the data with selected variables by PLS method.The prediction models are built and used to distinguish the human sex according to the element concentrations data in human hair.The accuracy of the prediction is 81%.; 国家教育委员会留学回国人员科研启动费;福建省自然科学基金
语种	zh_CN
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/107550]
专题	化学化工－已发表论文
推荐引用方式 GB/T 7714	章元,朱尔一,庄峙厦,等. 人发微量元素与性别关系的模式识别分类研究, Classification Study by Pattern Recognition on the Relationship Between the Trace Elements in Human Hair and Sex[J],1998.
APA	章元,朱尔一,庄峙厦,李波,&王小如.(1998).人发微量元素与性别关系的模式识别分类研究..
MLA	章元,et al."人发微量元素与性别关系的模式识别分类研究".(1998).

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。