Application of self-organizing maps to chemical analysis

被引：8
|
作者：
Tokutaka, H
Yoshihara, K
Fujimura, K
Obu-Cann, K
Iwamoto, K
机构：
[1] Tottori Univ, Dept Elect & Elect Engn, Tottori 680, Japan
[2] Natl Res Inst Met, Tsukuba, Ibaraki 305, Japan
来源：
APPLIED SURFACE SCIENCE | 1999年 / 144-45卷
关键词：
self-organizing maps (SOM); chemical analysis; data mining;
D O I：
10.1016/S0169-4332(98)00765-X
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
Self-organizing map (SOM) method developed by Kohonen [T. Kohonen, Self-Organizing Maps, Springer Series in Information Sciences, Vol. 30, 1995.] has been applied to problems of chemical analysis using AES, XPS, and XRD (X-ray Diffraction) data. Using two-dimensional SOM, information described qualitatively by Linguistic expressions can be explained more quantitatively by the position of the spectral data on the SOM together with the gray level expression. Furthermore, composition of unknown sample can be determined precisely by SOM that has been constructed using spectra from samples of known composition. (C) 1999 Published by Elsevier Science B.V. All rights reserved.
引用
收藏
页码：59 / 63
页数：5
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