| 基于LIBSVM的葡萄酒品质评判模型 |
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| 引用本文： | 高媛媛,刘强国.基于LIBSVM的葡萄酒品质评判模型[J].四川理工学院学报(自然科学版),2010,23(5). |
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| 作者姓名： | 高媛媛 刘强国 |
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| 基金项目： | 四川理工学院人才引进科研启动项目，四川理工学院人才引进科研启动项目 |
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| 摘 要： | 葡萄酒的成分复杂,是划分葡萄酒品质的重要依据。文章通过对178个葡萄酒样品化学分析数据进行分析处理,其中葡萄酒属性13个,建立基于支持向量机的葡萄酒品质评判模型,利用LIBSVM工具对高维复杂葡萄酒属性数据进行分析、处理、优化和解释,分类结果准确率高达98%,从而对葡萄酒品质快速有效的评判提供了理论依据。
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| 关 键 词： | 支持向量机 核函数 径向基函数 惩罚因子 |
Model of Wine Quality Identification Based on LIBSVM |
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| AO Yuan-yuan,LIU Qiang-guo.Model of Wine Quality Identification Based on LIBSVM[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,2010,23(5). |
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| Authors: | AO Yuan-yuan LIU Qiang-guo |
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| Abstract: | Numerous and complex ingredient of wine,is an important basis for the quality of wine.After processing and analyzing chemical analysis data of 178 wine samples,which contains 13 properties,the model of wine quality identification based on support vector machine is proposed in this article.By means of LIBSVM,the complex high dimension wine property data is analyzed,processed,optimized and interpreted.The precision of result about classifying the wine is 98%,thereby it offers a theoretical basis for identifying the wine quality rapidly and efficiently. |
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| Keywords: | support vector machine dernel function radial basis function penalty cost |
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