Title :
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
fDate :
July 31 2005-Aug. 4 2005
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;
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-9048-2
DOI :
10.1109/IJCNN.2005.1556221
