Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model
نویسندگان
چکیده
منابع مشابه
Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model
A novel multi-class classification method for bacteria detection termed quantum-behaved particle swarm optimization-based kernel extreme learning machine (QPSO-KELM) based on an electronic nose (E-nose) technology is proposed in this paper. Time and frequency domain features are extracted from E-nose signals used for detecting four different classes of wounds (uninfected and infected with Staph...
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Reference [1] H.T. Nagle, S. Schiffman and R. Guitierrez-Osuna, “The How and Why of Electronic Noses”, IEEE Spectrum, pg. 22-33, September 1998. [2] J. Gardner and P. Bartlett, Electronic Noses: Principles and Applications, Oxford University Press, November 1998. [3] Michael R. Wandel, Achim Lilienthal, Tom Duckett, UdoWeimar, and Andreas Zell. Gas Distribution in Unventilated Indoor Environmen...
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ژورنال
عنوان ژورنال: Sensors
سال: 2016
ISSN: 1424-8220
DOI: 10.3390/s16040520