Chem. J. Chinese Universities ›› 1997, Vol. 18 ›› Issue (2): 212.

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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

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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