Potato creams recognition from electronic nose and tongue signals: feature extraction/selection and RBF neural networks classifiers

Author

Sundic, T. ; Marco, S. ; Perera, A. ; Pardo, A. ; Samitier, J. ; Wide, P.

Author_Institution

Instrum. & Commun. Lab. Dept. d´´Electronica, Barcelona Univ., Spain

fYear

2000

fDate

2000

Firstpage

69

Lastpage

74

Abstract

We describe the development of a potato cream recognition system based on radial basis function neural networks from electronic nose and electronic tongue signals. Exhaustive and systematic feature extraction and selection, which are needed because of high dimensionality of signals, are performed on both instruments using various feature selection algorithms. At the end, we design the classifier based on the RBF network, and compare the results obtained from different features

Keywords

feature extraction; gas sensors; pattern classification; radial basis function networks; RBF neural networks classifiers; electronic nose; electronic tongue; feature selection; potato creams recognition; Electrodes; Electronic noses; Feature extraction; Gas detectors; Instruments; Laboratories; Neural networks; Radial basis function networks; Sensor arrays; Tongue;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Network Applications in Electrical Engineering, 2000. NEUREL 2000. Proceedings of the 5th Seminar on

Conference_Location

Belgrade

Print_ISBN

0-7803-5512-1

Type

conf

DOI

10.1109/NEUREL.2000.902387

Filename

902387