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

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dc.contributor.authorGongora, Mario Augustoen
dc.contributor.authorHines, E. L.en
dc.contributor.authorBoilot, Pascalen
dc.contributor.authorFolland, F. S.
dc.date.accessioned2008-11-24T13:24:13Z
dc.date.available2008-11-24T13:24:13Z
dc.date.issued2003-01-01en
dc.descriptionThe 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.identifier.citationBoilot, 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.doihttps://doi.org/10.1016/S0925-4005(02)00313-1
dc.identifier.issn0925-4005en
dc.identifier.urihttp://hdl.handle.net/2086/182
dc.language.isoenen
dc.publisherSensors and Actuators B Chemicalen
dc.researchgroupCentre for Computational Intelligence
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectRAE 2008
dc.subjectUoA 23 Computer Science and Informatics
dc.subjectElectronic nose
dc.subjectFeature extraction
dc.subjectSensor selection
dc.subjectGenetic algorithms
dc.subjectProbabilistic neural network
dc.subjectProblem of dimensionality
dc.titleElectronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions.en
dc.typeArticleen

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