Self-Organizing Maps (SOM) method which was developed by Kohonen is introduced. Here, the SOM was applied to the Round Robin CoNi spectra data. We obtained quite successful results, where we were able to determine the composition from the spectra not used for constructing SOM. And also, by using SOM, it seems to be possible to classify the instruments where their data were used for SOM.