Application of self-organizing maps to chemical analysis

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 quali...

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Bibliographic Details
Published in:Applied surface science 1999-04, Vol.144, p.59-63
Main Authors: Tokutaka, H, Yoshihara, K, Fujimura, K, Obu-Cann, K, Iwamoto, K
Format: Article
Language:English
Subjects:
Analytical chemistry
Chemical analysis
Chemistry
Data mining
Exact sciences and technology
Mass spectrometry (including SIMS, multiphoton ionization and resonance ionization mass spectrometry)
Self-organizing maps (SOM)
Spectrometric and optical methods
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Summary: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.
ISSN:0169-4332
1873-5584
DOI:10.1016/S0169-4332(98)00765-X