Classification of fuels using multilayer perceptron neural networks
Journal Article
·
· AIP Conference Proceedings
- Department of Electronic Systems Engineering, Polytechnic School, University of Sao Paulo Avenida Professor Luciano Gualberto, travessa 3, 158, 05508-900, Sao Paulo-SP (Brazil)
Electrical impedance data obtained with an array of conducting polymer chemical sensors was used by a neural network (ANN) to classify fuel adulteration. Real samples were classified with accuracy greater than 90% in two groups: approved and adulterated.
- OSTI ID:
- 21316739
- Journal Information:
- AIP Conference Proceedings, Vol. 1137, Issue 1; Conference: 13. international symposium on olfaction and electronic nose, Brescia (Italy), 15-17 Apr 2009; Other Information: DOI: 10.1063/1.3156604; (c) 2009 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
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