食醋电子鼻检测中一种特征参量评价方法

电子鼻检测中常用的特征鉴别能力评价方法有2种,一是对判别结果的直观分析,二是对判别正确率的统计计算.但是,当判别正确率相同时,对于不同特征间鉴别能力的差异,2种方法都不能进行准确的定量评价.为实现特征鉴别能力的准确度量,以不同种类食醋为检测对象,对检测信号提取面积斜率比、方差、积分、平均微分值、相对稳态平均值、小波能量等6种特征参量,并将特征参量与类别间的相关系数作为特征鉴别能力的度量指标.计算结果可知：面积斜率比特征参量的相关系数绝对值最小,为0.1027,积分特征参量的相关系数绝对值最大,为0.6455.表明面积斜率比特征参量的鉴别能力最低,积分特征参量的鉴别能力最高.Fisher 判别结...

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Bibliographic Details
Published in农业工程学报 Vol. 29; no. 3; pp. 258 - 264
Main Author 于慧春 褚冰 殷勇
Format Journal Article
LanguageChinese
Published 河南科技大学 食品与生物工程学院,洛阳 471003 2013
Subjects
特征提取
电子鼻检测
相关法
识别
食醋
electronic nose testing
特征提取
相关法
identification
识别
feature extraction
电子鼻检测
vinegar
食醋
correlation methods
Online AccessGet full text
ISSN1002-6819
DOI10.3969/j.issn.1002-6819.2013.03.034

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Summary:电子鼻检测中常用的特征鉴别能力评价方法有2种,一是对判别结果的直观分析,二是对判别正确率的统计计算.但是,当判别正确率相同时,对于不同特征间鉴别能力的差异,2种方法都不能进行准确的定量评价.为实现特征鉴别能力的准确度量,以不同种类食醋为检测对象,对检测信号提取面积斜率比、方差、积分、平均微分值、相对稳态平均值、小波能量等6种特征参量,并将特征参量与类别间的相关系数作为特征鉴别能力的度量指标.计算结果可知：面积斜率比特征参量的相关系数绝对值最小,为0.1027,积分特征参量的相关系数绝对值最大,为0.6455.表明面积斜率比特征参量的鉴别能力最低,积分特征参量的鉴别能力最高.Fisher 判别结果也证明了特征参量的鉴别能力越高,其分类效果越好.因此,用特征参量与类别间的相关系数作为特征鉴别能力的度量是合适的、也是有效的.
Bibliography:Yu Huichun,Chu Bing,Yin Yong （Department of Food ＆ Bioengineering,I-Ienan University of Science and Technology,Luoyang 471003, China）
11-2047/S
In a test of the electronic nose （E-nose）, two evaluation methods of the feature vector identification ability are commonly used： 1） visual analysis for the discrimination result, 2） statistical computation for the correct rate of the discrimination result. However, when the correct rates of the discrimination result are same, for the different feature vectors, the identification ability can not be evaluated accurately and quantitatively by the above two methods. In order to achieve the precise evaluation of the feature vector identification ability, different kinds of vinegar were taken as the study object and tested by the E-nose. Six kinds of feature vectors including Variance （Var）, Integral value （Inv）, Average value in relative steady-state （Avrs）, Value of area divided by the slope （Vads）, Average differential value （Adv）, and Wavelet energy value （Wev） were extr
ISSN:1002-6819
DOI:10.3969/j.issn.1002-6819.2013.03.034