DocumentCode :
423601
Title :
Comparative study of connectionist techniques for implementing the pattern recognition system of an artificial nose
Author :
De Almeida, Marcelo B. ; De Souto, Marcilio C P ; Ludermir, Teresa B.
Author_Institution :
Centre of Informatics, Pernambuco Federal Univ., Recife, Brazil
Volume :
1
fYear :
2004
fDate :
25-29 July 2004
Lastpage :
656
Abstract :
This work presents an experimental analysis on the use of different neural model for the implementation of the pattern recognition system of an artificial nose. The models investigated are the multi-layer perceptrons with, respectively, the backpropagation, tabu search and resilient backpropagation; and the radial basis function networks.
Keywords :
artificial organs; backpropagation; multilayer perceptrons; pattern recognition; radial basis function networks; search problems; artificial nose; backpropagation; connectionist technique; multilayer perceptron; neural model; pattern recognition system; radial basis function network; resilient backpropagation; tabu search; Backpropagation algorithms; Electronic mail; Informatics; Nose; Pattern recognition; Radial basis function networks; Sensor arrays; Sensor systems; Testing; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1379994
Filename :
1379994
Link To Document :
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