Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions.
Date
2003-01-01
Advisors
Journal Title
Journal ISSN
ISSN
0925-4005
Volume Title
Publisher
Sensors and Actuators B Chemical
Type
Article
Peer reviewed
Abstract
Description
The paper presents a research that supported real applicability of (4 different, as shown in section EN Systems) Electronic Nose systems. The groups had been researching in the theory of artificial olfaction and with the work reported in this paper we reach a critical waypoint in making all this work useful to the real world using a set of commercial sensors and artificial intelligence data processing techniques. The impact factor of the journal is 2.331.
Keywords
RAE 2008, UoA 23 Computer Science and Informatics, Electronic nose, Feature extraction, Sensor selection, Genetic algorithms, Probabilistic neural network, Problem of dimensionality
Citation
Boilot, P. et al. (2003) Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions. Sensors and Actuators B Chemical, 88(1), pp. 80-88.