| 支持向量机在意大利葡萄酒种类识别中的应用 |
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| 引用本文： | 朱书慧,李洋.支持向量机在意大利葡萄酒种类识别中的应用[J].教育技术导刊,2009,19(11):29-32. |
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| 作者姓名： | 朱书慧 李洋 |
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| 作者单位： | 上海理工大学 管理学院，上海200093 |
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| 基金项目： | 国家自然科学基金项目（11505114） |
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| 摘 要： | 葡萄酒的化学成分是辨别葡萄酒品种的主要依据。考虑到常规检测方法复杂、繁琐，准确率低，选择机器学习方法识别葡萄酒种类。针对目前常用的K均值算法在葡萄酒识别中存在的问题，尝试使用支持向量机进行分类，并与K均值算法进行对比分析。结果表明，基于支持向量机的模型分类性能更好，准确率达到98.15%。
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| 关 键 词： | 葡萄酒识别 机器学习 支持向量机 K均值 |
| 收稿时间： | 2020-03-20 |
Application of Support Vector Machines in the Type Identification of Italian Wine |
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| ZHU Li-yun,LIU Yuan-hua.Application of Support Vector Machines in the Type Identification of Italian Wine[J].Introduction of Educational Technology,2009,19(11):29-32. |
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| Authors: | ZHU Li-yun LIU Yuan-hua |
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| Institution: | Management College，University of Shanghai for Science and Technology， Shanghai 200093， China |
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| Abstract: | The chemical composition of wine is the main basis for distinguishing wine varieties. Considering that the conventional detection methods are complicated and cumbersome， and the accuracy is low， we employ the machine learning method to identify the type of wine. Aiming at the problems existing in the commonly used K-means algorithm in wine recognition， we use support vector machine to classify and compare with K-means. The results show that the classification performance based on support vector machine is better， and the accuracy rate reaches 98.15%. |
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| Keywords: | wine recognition machine learning support vector machines K-means |
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