Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions.

De Montfort University Open Research Archive

Show simple item record

dc.contributor.author Gongora, Mario Augusto en
dc.contributor.author Hines, E. L. en
dc.contributor.author Boilot, Pascal en
dc.contributor.author Folland, F. S.
dc.date.accessioned 2008-11-24T13:24:13Z
dc.date.available 2008-11-24T13:24:13Z
dc.date.issued 2003-01-01 en
dc.identifier.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.
dc.identifier.issn 0925-4005 en
dc.identifier.uri http://hdl.handle.net/2086/182
dc.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. en
dc.language.iso en en
dc.publisher Sensors and Actuators B Chemical en
dc.subject RAE 2008
dc.subject UoA 23 Computer Science and Informatics
dc.subject Electronic nose
dc.subject Feature extraction
dc.subject Sensor selection
dc.subject Genetic algorithms
dc.subject Probabilistic neural network
dc.subject Problem of dimensionality
dc.title Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions. en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1016/S0925-4005(02)00313-1 en
dc.researchgroup Centre for Computational Intelligence


Files in this item

This item appears in the following Collection(s)

Show simple item record