DocumentCode
3207968
Title
Pattern recognition of gases of petroleum based on RBF model
Author
Barbosa, Maria Silva Santos ; Ludermir, Teresa B. ; Santos, Francisco Luiz dos ; Dos Santos, Fernando Leandro ; De Souza, Jose Edson Gomes ; De Melo, Celso Pinto
Author_Institution
UESB, Bahia, Brazil
fYear
2002
fDate
2002
Firstpage
111
Abstract
In the case of aerial accident spreading out dangerous gases into the atmosphere, an instrument called electronic nose can warn about the beginning of petroleum derived leaks. In this paper we present the architecture of the neural network for pattern recognition of gases of petroleum based on an RBF model. With this model we analyzed the pattern recognition of five gases: ethane, methane, propane, butane and carbon monoxide, separated in three classes of problems.
Keywords
computerised monitoring; gas sensors; leak detection; pattern recognition; petroleum industry; radial basis function networks; RBF neural network; butane; carbon monoxide; electronic nose; ethane; gas leakage detection; methane; pattern recognition; petroleum gas recognition; petroleum industry; propane; Accidents; Atmosphere; Atmospheric modeling; Electronic noses; Gases; Instruments; Neural networks; Pattern analysis; Pattern recognition; Petroleum;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. SBRN 2002. Proceedings. VII Brazilian Symposium on
Print_ISBN
0-7695-1709-9
Type
conf
DOI
10.1109/SBRN.2002.1181445
Filename
1181445
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