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投稿时间:2016-05-13
投稿时间:2016-05-13
中文摘要: 提出利用支持向量机(SVM)对不同品牌阿胶进行鉴别,首先对不同品牌阿胶的红外光谱图进行分析,同时系 统分析了阿胶谱图的预处理过程,建立 3 种品牌阿胶的鉴别模型。并对 4 种不同的聚类分析算法(KNN、Bayes、LDF 和 SVM)进行方法比对。试验表明,不同品牌的阿胶聚类模型以 SVM 的识别率和拒绝率最高。试验结果表明该方法能快速 对不同品牌阿胶进行鉴别。
Abstract:An identifying method for different brands of Ejiao by using support vector machine (SVM) was in- troduced. First, SVM analyzed the infrared spectrums of different brands of Ejiao, researching the pre-process- ing of Ejiao spectrums systematically at the same time and the discrimination models of three brands of Ejiao were established. Method comparison was used to discriminate the four different clustering analysis algorithms (KNN, Bayes, LDF and SVM). The experiment proved that the recognition rate and rejection rate of SVM were the highest in the cluster models of different brands of Ejiao. The results showed that this method could identify different types of Ejiao effectively.
keywords: FTIR support vector machine Ejiao identification
文章编号:201707029 中图分类号:10.3969/j.issn.1005-6521.2017.07.029 文献标志码:A
基金项目:大学生创业创新项目(201510859005)
Author Name | Affiliation |
LIU Xiao-qian1, WEI Ji-ping2, WANG Jun-quan1, LIANG Jing-fen1 | 1. Tianshi College, Tianjin 301700,China; 2. Tianjin Modern Vocational Technology College, Tianjin,300350, China |
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