In this study, we analyzed the transient of microsensors based on tin oxide solgel thin film. A novel method to this research field for data analysis and discrimination among different volatile organic compounds is resented. 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).
On the study of feature extraction methods for an electronic nose
Distante C;Leo M;Siciliano P;
2002
Abstract
In this study, we analyzed the transient of microsensors based on tin oxide solgel thin film. A novel method to this research field for data analysis and discrimination among different volatile organic compounds is resented. 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).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.