A comparative study of neural network to artificial noses

Author

Ferreira, A.A. ; Ludermir, T.B. ; de Aquino, R.R.B.

Author_Institution

Center of Informatics, Fed. Univ. of Pernambuco, Recife

Volume

4

fYear

2005

fDate

July 31 2005-Aug. 4 2005

Firstpage

2081

Abstract

Artificial neural networks have been used to classify odor patterns and are showing promising results. In this paper we present four different models of neural networks to implement pattern recognition system in artificial noses. The models investigated are the multi-layer perceptrons, two different implementations of the radial basis function networks and the probabilistic neural network. All the models were tested with and without temporal processing. A complex data base with nine different classes was used in this paper

Keywords

artificial intelligence; gas sensors; multilayer perceptrons; pattern recognition; radial basis function networks; artificial neural networks; artificial noses; multi-layer perceptrons; odor patterns; pattern recognition system; probabilistic neural network; radial basis function network; Artificial neural networks; Contamination; Databases; Monitoring; Multi-layer neural network; Multilayer perceptrons; Neural networks; Nose; Pattern recognition; Power system modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-7803-9048-2

Type

conf

DOI

10.1109/IJCNN.2005.1556221

Filename

1556221