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TOXIC GASES IDENTIFICATION USING SINGLE ELECTROCATALYTIC SENSOR RESPONSES AND ARTIFICIAL NEURAL NETWORK
Abstract
The need for precise detection of toxic gases drives development of new gas sensors structures and methods of processing the output signals from the sensors. In literature, artificial neural networks are considered as one of the most effective tool for the analysis of gas sensors or sensors arrays responses. In this paper a method of toxic gas components identification using a electrocatalytic gas sensor as a detector and an artificial neural network as a classifier is presented.
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- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Title of issue:
- Materiały konferencyjne ICT Young 2013 strony 315 - 320
- Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Kalinowski P., Ardanowska E., Strzelczyk A., Jasiński G.: TOXIC GASES IDENTIFICATION USING SINGLE ELECTROCATALYTIC SENSOR RESPONSES AND ARTIFICIAL NEURAL NETWORK// Materiały konferencyjne ICT Young 2013/ ed. P. Skorowski, M. Zabolski : , 2013, s.315-320
- Verified by:
- Gdańsk University of Technology
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