高等学校化学学报 ›› 1997, Vol. 18 ›› Issue (2): 212.

• 论文 • 上一篇    下一篇

一种用于二类样本判别分析的PLS方法

朱尔一, 林雍静, 庄峙厦, 应海   

  1. 厦门大学化学系国家教委材料与生命过程分析科学开放实验室, 厦门, 361005
  • 收稿日期:1996-02-02 出版日期:1997-02-24 发布日期:1997-02-24
  • 通讯作者: 朱尔一, 男, 39岁, 副教授.
  • 作者简介:朱尔一, 男, 39岁, 副教授.
  • 基金资助:

    国家教育委员会归国留学生启动基金;福建省自然科学基金

A New PLS Method Suitable to Deal with the Discriminant Analysis Problems with Two Class Samples

ZHU Er-Yi, LIN Yong-Jing, ZHUANG Zhi-Xia, YING Hai   

  1. Department of Chemistry, The SEDC Research Laboratory of Analytical Science for Material and Life Chemistry, Xiamen University, Xiamen, 361005
  • Received:1996-02-02 Online:1997-02-24 Published:1997-02-24

摘要: 提出了一种新的用于两类样本判别分析问题的PLS方法,该法对响应函数y作了类似神经网络算法中用的Sigmoid函数转换,可用一种新的优化目标判据来提取一组PLS方法中两两正交的隐变量t1,t2......,用这些变量可构成判别分类图,并可得到比较理想的判别方向矢量.

关键词: PLS, 判别分析, 神经网络

Abstract: Anew PLSmethod that is very suitable dealing with the discriminant analysis problems with two class samples has been developed.In this method the dependent function y has been transformed by use of the Sigmoid function, that is similar to the neural network algorithm.Therefore a new optimization criteria can be used to extract the latent variables t1, t2,...., in PLSmethod.The good classification graphics constructed by the latent variables, and the ideal direction vectors of discrimination can all be obtained.

Key words: PLS, Discriminant analysis, Neural network

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