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
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;
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
DOI :
10.1109/ICCIC.2010.5705774
