Title :
Evolving fuzzy neural networks applied to odor recognition in an artificial nose
Author :
Zanchettin, Cleber ; Ludermir, Teresa B.
Author_Institution :
Center of Informatics, Fed. Univ. of Pernambuco, Recife, Brazil
Abstract :
A pattern recognition system using evolving fuzzy neural networks for an artificial nose is presented. The artificial nose is composed of an adaptive and on-line learning method. For the classification of gases derived from the petroliferous industry, the method presented achieves better results (mean classification error of 0.88%) than those obtained by time delay neural networks (10.54%).
Keywords :
adaptive systems; artificial organs; fuzzy neural nets; learning systems; pattern recognition; adaptive learning method; artificial nose; evolving fuzzy neural network; odor recognition; online learning method; pattern recognition system; petroliferous industry; time delay neural network; Artificial neural networks; Fuzzy neural networks; Gases; Intelligent networks; Nose; Pattern recognition; Sensor arrays; Sensor phenomena and characterization; Sensor systems; Temperature sensors;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1379998
