Wavelet transform and fuzzy ARTMAP-based pattern recognition for fast gas identification using a micro-hotplate gas sensor
UNSPECIFIED (2002) Wavelet transform and fuzzy ARTMAP-based pattern recognition for fast gas identification using a micro-hotplate gas sensor. In: Transducers 2001 Conference/Eurosensor XV Conference, MUNICH, GERMANY, JUN 10-14, 2001. Published in: SENSORS AND ACTUATORS B-CHEMICAL, 83 (1-3). pp. 238-244.Full text not available from this repository.
It is shown that a single thermally-modulated tin oxide-based resistive microsensor can discriminate between two different pollutant gases (CO and NO2) and their mixtures. The method employs a novel feature-extraction and pattern classification method, which is based on a 1-D discrete wavelet transform and a Fuzzy adaptive resonant theory map (ARTMAP) neural network. The wavelet technique is more effective than FFT in terms of data compression and is highly tolerant to the presence of additive noise and drift in the sensor responses, Furthermore, Fuzzy ARTMAP networks lead to a 100% success rate in gas recognition in just two training epochs, which is significantly lower than the number of epochs required to train the back-propagation network. (C) 2002 Elsevier Science B.V. All rights reserved.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||Q Science > QD Chemistry|
|Journal or Publication Title:||SENSORS AND ACTUATORS B-CHEMICAL|
|Publisher:||ELSEVIER SCIENCE SA|
|Date:||15 March 2002|
|Number of Pages:||7|
|Page Range:||pp. 238-244|
|Title of Event:||Transducers 2001 Conference/Eurosensor XV Conference|
|Location of Event:||MUNICH, GERMANY|
|Date(s) of Event:||JUN 10-14, 2001|
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