Research on the Evaluation of Baijiu Flavor Quality Based on Intelligent Sensory Technology Combined with Machine Learning

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Publié dans:	Chemosensors vol. 12, no. 7 (2024), p. 125
Auteur principal:	Aliya
Autres auteurs:	Liu, Shi, Zhang, Danni, Cao, Yufa, Sun, Jinyuan, Jiang, Shui, Liu, Yuan
Publié:	MDPI AG
Sujets:	China Accuracy Sensory evaluation Classification Discriminant analysis Pattern recognition systems Electronic noses Signal processing Flavors Metal oxides Machine learning Aroma Prediction models Learning algorithms Electronic tongues Quality assessment Flavor compounds Gases Technology assessment Sensory properties Sensors Sensory perception Spirits Alcohol Statistical methods
Accès en ligne:	Citation/Abstract Full Text + Graphics Full Text - PDF
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