DocumentCode
1329067
Title
Counteracting drift of olfactory sensors by appropriately selecting features
Author
Lazzerini, B. ; Marcelloni, F.
Author_Institution
Dipt. di Ingegneria della Inf., Pisa Univ., Italy
Volume
36
Issue
6
fYear
2000
fDate
3/16/2000 12:00:00 AM
Firstpage
509
Lastpage
510
Abstract
It is shown that the effects of olfactory sensor drift can be counteracted by appropriately selecting the features that characterise the sensor responses. To this end, a supervised version of the fuzzy isodata (SFI) algorithm is adopted. In addition to selecting features, the SFI algorithm computes both the memberships of patterns in classes, and the shape of classes. The output of the SFI is then used by a fuzzy k-nearest neighbour algorithm to identify unknown odours
Keywords
chemioception; electric sensing devices; feature extraction; fuzzy set theory; gas sensors; SFI algorithm; fuzzy isodata algorithm; fuzzy k-nearest neighbour algorithm; odours; olfactory sensors; pattern memberships; sensor drift; sensor responses;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20000440
Filename
840133
Link To Document