On the study of feature extraction methods for an electronic nose (Articolo in rivista)

Type
Label
  • On the study of feature extraction methods for an electronic nose (Articolo in rivista) (literal)
Anno
  • 2002-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/S0925-4005(02)00247-2 (literal)
Alternative label
  • Distante C., Leo M., Siciliano P., Persaud K.C. (2002)
    On the study of feature extraction methods for an electronic nose
    in Sensors and actuators. B, Chemical (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Distante C., Leo M., Siciliano P., Persaud K.C. (literal)
Pagina inizio
  • 274 (literal)
Pagina fine
  • 288 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 87 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 2 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • C. Distante, P.Siciliano - IMM-CNR Krishna C. Persaud - Department of Instrumentation and Analytical Science DIAS-UMIST (literal)
Titolo
  • On the study of feature extraction methods for an electronic nose (literal)
Abstract
  • 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 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). (literal)
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