基于数据挖掘的葡萄酒品质识别研究

Zhang Lingfeng, F. Feng, Huang Heng
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引用次数: 4

摘要

对于葡萄酒质量的大数据识别技术,引入数据挖掘分类算法,有效地根据几种影响化合物的含量进行葡萄酒水平识别;分别介绍了包括Logistic回归和BP神经网络以及SVM分类算法在内的三种算法,针对这三种算法对葡萄酒质量识别进行建模分析。数据挖掘与大数据密切相关,将数据挖掘应用于葡萄酒质量检测中的大数据,可以快速地对葡萄酒的质量进行检测。
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Wine quality identification based on data mining research
For the quality of the wine big data identification technology, the introduction of data mining classification algorithm, effectively according to the content of several impact compounds in wine level identification;Are introduced including the Logistic regression and BP neural network and SVM classification algorithm, in view of the three algorithms identify the modeling analysis of wine quality. Data mining is closely related to big data, applying data mining to the wine in the quality detection of big data, can quickly to the quality of the wine.
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