DocumentCode :
2209244
Title :
Applications of self-organizing maps (SOM) to the composition determination of chemical products
Author :
Tokutaka, Heizo ; Yoshihara, Kazuhiro ; FujiMura, Kikuo ; Iwamoto, Kazuyuki ; Watanabe, Toru ; Kishida, Satoru
Author_Institution :
Dept. of Electr. & Electron. Eng., Tottori Univ., Japan
Volume :
1
fYear :
1998
fDate :
4-8 May 1998
Firstpage :
301
Abstract :
Self-organizing maps (SOM) method was developed by Kohonen (1997) was first applied to the problems of chemical analysis, such as AES (Auger electron spectroscopy), XPS (X-ray photoelectron spectroscopy), and XRD (X-ray diffraction) data. Using the constructed 2-dimensional SOM, it became clear that the things which are described quantitatively by linguistic expressions can be explained more quantitatively by the position of the spectra data on the SOM as well as with a gray level expression. Also, the composition of the unknown spectra can be determined very precisely by the SOM, which is constructed using the composition of the known spectra
Keywords :
Auger effect; X-ray diffraction; X-ray photoelectron spectra; chemical analysis; chemical engineering computing; electron spectroscopy; self-organising feature maps; 2D SOM; AES; Auger electron spectroscopy; X-ray diffraction; X-ray photoelectron spectroscopy; XPS; XRD; chemical products; composition determination; gray level expression; self-organizing maps; spectrum composition; Chemical analysis; Chemical products; Data analysis; Data mining; Diffraction; Electrons; Inorganic materials; Self organizing feature maps; Spectroscopy; X-ray scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on
Conference_Location :
Anchorage, AK
ISSN :
1098-7576
Print_ISBN :
0-7803-4859-1
Type :
conf
DOI :
10.1109/IJCNN.1998.682281
Filename :
682281
Link To Document :
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