Application of Conformal Predictors to Tea Classification Based on Electronic Nose

被引：0
|
作者：
Nouretdinov, Ilia [1 ]
Li, Guang [2 ]
Gammerman, Alexander [1 ]
Luo, Zhiyuan [1 ]
机构：
[1] Univ London, Comp Learning Res Ctr, Egham Hill, Egham TW20 0EX, Surrey, England
[2] Zhejiang Univ, Dept Control Sci & Engn, Hangzhou 310027, Peoples R China
来源：
ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS | 2010年 / 339卷
关键词：
Tea Classification; Electronic Nose; Conformal Predictors; Support Vector Machines; Pattern Recognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we present an investigation into the performance of conformal predictors for discriminating the aroma of different types of tea using an electronic nose system based on gas sensors. We propose a new non-conformity measure for the implementation of conformal predictors based on Support Vector Machine for multi-class classification problems. The experimental results have shown the good performance of the implemented conformal predictors.
引用
收藏
页码：303 / +
页数：2
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