DocumentCode
2401211
Title
Pattern recognition methods for SAW sensor array based electronic nose
Author
Jha, S.K. ; Yadava, R.D.S.
Author_Institution
Dept. of Phys., Banaras Hindu Univ., Varanasi, India
fYear
2010
fDate
28-29 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
The paper presents an analysis of several preprocessing, feature extraction and classification methods in combination for yielding optimum performance for SAW sensors array based electronic nose systems. It is found that the combination of logarithmic data preprocessing, linear discriminant analysis based feature extraction and support vector machine based classification yields optimum results.
Keywords
electronic noses; pattern classification; sensor arrays; support vector machines; surface acoustic waves; SAW sensor array; electronic nose system; feature extraction; linear discriminant analysis; pattern recognition methods; support vector machine based classification methods; Arrays; Artificial neural networks; Feature extraction; Pattern recognition; Principal component analysis; Support vector machines; Surface acoustic waves; SAW sensor array; electronic nose; odor recognition; pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4244-5965-0
Electronic_ISBN
978-1-4244-5967-4
Type
conf
DOI
10.1109/ICCIC.2010.5705774
Filename
5705774
Link To Document