Evaluation of Spectra in Chemistry and Physics with Kohonen's Selforganizing Feature Map
نویسندگان
چکیده
In this paper we present a method for analyzing optical data with Kohonen's selforganizing feature map (SOM). Two applications are considered, the determination of presence and concentration of organic gases and solvants and the prediction of corrosion resistance of car body steels. Both applications use a similar method based on optical measurement. The goal is to extract correlations of the spectral data and to classify unknown spectra.
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