Book chapter
e-NOSE Response Classification of Sewage Odors by Neural Networks and Fuzzy Clustering
Advances in Natural Computation, pp.648-651
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2005
DOI: 10.1007/11539117_92
Abstract
Each stage of the sewage treatment process emits odor causing compounds and these compounds may vary from one location in a sewage treatment works to another. In order to determine the boundaries of legal standards, reliable and efficient odor measurement methods need to be defined. An electronic NOSE equipped with 12 different polypyrrole sensors is used for the purpose of characterizing sewage odors. Samples collected at different locations of a WWTP were classified using a fuzzy clustering technique and a neural network trained with a back-propagation algorithm.
Details
- Title: Subtitle
- e-NOSE Response Classification of Sewage Odors by Neural Networks and Fuzzy Clustering
- Creators
- Güleda Önkal-Engin - Department of Environmental Engineering, Gebze Institute of Technology, Gebze, Kocaeli, TurkeyIbrahim Demir - University of GeorgiaSeref N Engin - Yıldız Technical University
- Resource Type
- Book chapter
- Publication Details
- Advances in Natural Computation, pp.648-651
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/11539117_92
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Language
- English
- Date published
- 2005
- Academic Unit
- Electrical and Computer Engineering; Civil and Environmental Engineering; Injury Prevention Research Center
- Record Identifier
- 9984197444702771
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