On the study of feature extraction methods for an electronic nose
On the study of feature extraction methods for an electronic nose
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DOI：
10.1016/s0925-4005(02)00247-2
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发表时间：
2002-12-10
影响因子：
8.4
通讯作者：
Persaud, KC
中科院分区：
文献类型：
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作者：
Distante, C;Leo, M;Persaud, KC
在本研究中，我们分析了基于二氧化锡溶胶-凝胶薄膜的微传感器的暂态特性。提出了一种对不同挥发性有机化合物进行数据分析和区分的新方法。此外，还考虑了几种特征提取方法，包括稳态信息(分数变化、相对、差分和对数)和暂态信息(傅立叶和小波描述子、积分和导数)。对特征提取方法进行了定性(使用主成分分析)和定量分类(使用径向基函数神经网络)的验证。(C)2002 Elsevier Science B.V.保留所有权利。
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.