摘要
通过建立神经网络模型,利用红葡萄酒、红葡萄的理化指标对样本酒进行分类;将神经网络模型的分类结果与评酒员的评分分类进行比较,得出红葡萄与红葡萄酒的理化指标不能评价红葡萄酒的质量.进一步分析,添加酿酒红葡萄与红葡萄酒各种芳香物质量指标,对红葡萄酒的质量进行分类,得出红葡萄酒与酿酒红葡萄的芳香物质指标对红葡萄酒的质量产生一定的影响.
In this paper, the conclusion that the physicochemical indexes can not be used to evaluate its qual- ity is obtained, by establishing neural network model, classifying the samples with the indexes, and comparing the classification results of the network and the wine evaluators. And further analysis is conducted by adding some ar- omatic substances, the result is that they do affect the quality of red wine.
出处
《绵阳师范学院学报》
2013年第11期43-46,共4页
Journal of Mianyang Teachers' College
基金
2013年广东省大学生创新训练项目(201310592014)
关键词
神经网络
葡萄酒质量评价
主成分分析
neural network
quality evaluation of red wine
principal components analysis