Abstract

A wine classification model based on one-dimensional convolutional neural network (1DCNN) is proposed for wine classification. The experimental data uses the wine dataset of the UCI machine learning library. Simulation experiments show that the wine classification model based on one-dimensional convolutional neural network has higher classification accuracy than BP neural network and extreme learning machine (ELM) classification model.

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