基于电子鼻数据的支持向量机预报猪肉菌落总数研究
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- 英文论文题名：The prediction of bacteria number in pork by using by support vector machine based on Electronic Nose
- 论文作者：刘太昂 ; 张庆 ; 翟秀云 ; 陆文聪
- 英文论文作者：Taiang Liu ; Qing Zhang ; Xiuyun Zhai ; Wencong Lu ; School of Materials Science and Engineering ; Shanghai University ; Department of Chemistry ; College of Sciences ; Shanghai University
- 年：2016
- 作者机构：上海大学材料科学与工程学院;上海大学理学院化学系;
- 论文关键词：电子鼻 ; 支持向量机 ; 猪肉 ; 菌落总数
- 会议召开时间：2016-07-01
- 会议录名称：中国化学会第30届学术年会摘要集-第二十五分会：化学信息学与化学计量学
- 语种：中文
- 分类号：TS251.7
- 学会代码：ZGHY
- 会议名称：中国化学会第30届学术年会-第二十五分会 ; 化学信息学与化学计量学
- 会议地点：中国辽宁大连
- 主办单位：中国化学会
- 学会名称：中国化学会
- 页数：1
- 文件大小：279k
- 原文格式：D
- 会议级别：全国
摘要
本文基于电子鼻~([1])数据应用支持向量机算法~([2])建立猪肉菌落总数的快速定量预报模型。建模、留一法和独立测试结果的相关系数分别为0.94、0.88和0.89。可以看出:电子鼻结合支持向量机可以简单、快速的预测猪肉的细菌数量。
The aim of this paper was to predict the bacteria number in pork by using support vector machine(SVM) based on Electronic Nose(EN).The correlation coefficients of training set,LOOCV and test set were 0.94,0.88 and 0.89 respectively.It can be understood that the SVM combined with electronic nose system can become a simple and rapid technique for the prediction of the bacteria number in pork.
The aim of this paper was to predict the bacteria number in pork by using support vector machine(SVM) based on Electronic Nose(EN).The correlation coefficients of training set,LOOCV and test set were 0.94,0.88 and 0.89 respectively.It can be understood that the SVM combined with electronic nose system can become a simple and rapid technique for the prediction of the bacteria number in pork.
引文
[1]Dutta,R.,D.Morgan,et al.Sensors and Actuators B:Chemical.2005,109(2):355-362
[2]Wencong Lu,Xiaobo Ji,Minjie Li,Liang Liu.Advances in Manufacturing.2013,1(2):151-159
[2]Wencong Lu,Xiaobo Ji,Minjie Li,Liang Liu.Advances in Manufacturing.2013,1(2):151-159