On the study of feature extraction methods for an electronic nose

被引：140
|
作者：
Distante, C
Leo, M
Siciliano, P
Persaud, KC
机构：
[1] CNR, Ist Microelettr & Microsistemi IMM, I-73100 Lecce, Italy
[2] CNR, Inst Studi Sistemi Intelligenti Automaz ISSIA, I-70126 Bari, Italy
[3] UMIST, Dept Instrumentat & Analyt Sci DIAS, Manchester M60 1QD, Lancs, England
来源：
SENSORS AND ACTUATORS B-CHEMICAL | 2002年 / 87卷 / 02期
关键词：
electronic nose; radial basis function; wavelet analysis; feature extraction;
D O I：
10.1016/S0925-4005(02)00247-2
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
In this study, we analyzed the transient of microsensors based on tin oxide sol-gel thin film. A novel method to this research field for data analysis and discrimination among different volatile organic compounds is presented. Moreover; several feature extraction methods have been considered, both steady-state (fractional change, relative, difference and log) and transient (Fourier and wavelet descriptors, integral and derivatives) information. Feature extraction methods have been validated qualitatively (by using principal component analysis) and quantitatively on the classification rate (by using a radial basis function neural network). (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：274 / 288
页数：15
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