Prediction of Red Wine Quality Using One-dimensional Convolutional Neural Networks. (arXiv:2208.14008v1 [cs.LG])

As an alcoholic beverage, wine has remained prevalent for thousands of years,
and the quality assessment of wines has been significant in wine production and
trade. Scholars have proposed various deep learning and machine learning
algorithms for wine quality prediction, such as Support vector machine (SVM),
Random Forest (RF), K-nearest neighbors (KNN), Deep neural network (DNN), and
Logistic regression (LR). However, these methods ignore the inner relationship
between the physical and chemical properties of the wine, for example, the
correlations …

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