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Application of fuzzy logic to determine the odour intensity of model gas mixtures using electronic nose
Abstract
The paper presents the possibility of application of fuzzy logic to determine the odour intensity of model, ternary gas mixtures (α-pinene, toluene and triethylamine) using electronic nose prototype. The results obtained using fuzzy logic algorithms were compared with the values obtained using multiple linear regression (MLR) model and sensory analysis. As the results of the studies, it was found the electronic nose prototype along with the fuzzy logic pattern recognition system can be successfully used to estimate the odour intensity of tested gas mixtures. The correctness of the results obtained using fuzzy logic was equal to 68%.
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1051/e3sconf/20182801036
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- Category:
- Conference activity
- Type:
- materiały konferencyjne indeksowane w Web of Science
- Published in:
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E3S Web of Conferences
no. 28,
pages 1 - 8,
ISSN: - Title of issue:
- 10th Scientific Conference on Air Protection in Theory and Practice strony 1 - 8
- Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Szulczyński B., Gębicki J., Namieśnik J..: Application of fuzzy logic to determine the odour intensity of model gas mixtures using electronic nose, W: 10th Scientific Conference on Air Protection in Theory and Practice, 2018, EDP Sciences,.
- DOI:
- Digital Object Identifier (open in new tab) 10.1051/e3sconf/20182801036
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
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