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Spectral analysis method trial by machine learning

Oba, Masaki ; Miyabe, Masabumi   ; Akaoka, Katsuaki ; Wakaida, Ikuo  

Emission spectrum analysis was attempted by neural network machine learning. As a result, it was shown that the composition ratio can be analyzed with an error of several percent.



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