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.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)