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Classification of Coffee and Wine with a Microwave Resonator and Deep Learning Machine Technique [post]

Hyo Bong Hong, Jae-Chan Jeong, Hans Joachim Krause
2020 unpublished

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In this study, coffee and wine were measured using an microwave resonator, and a deep learning system was trained using the acquired data, and then tested to see if the deep leaning system could distinguish these samples. We tested 6 kinds of wine, 6 kinds of cold brew coffee and 6 kinds of bottled coffee. The microwave resonance spectra of all samples were graphically displayed. The graphical images were processed by an artificial intelligence (AI) technique. By applying deep learning machine
more » ... echnique instead of the peak assignment for complex compounds in general, it was possible to facilitate the classification of coffee or wine with high accuracy.
doi:10.26434/chemrxiv.12458252 fatcat:mw7os4cukzdkxfzj5b5dbitziy
Open Access
Citation

Hyo Bong Hong, Jae-Chan Jeong, Hans Joachim Krause. "Classification of Coffee and Wine with a Microwave Resonator and Deep Learning Machine Technique." (2020)