Correction of Dynamic Errors of a Gas Sensor Based on a Parametric Method and a Neural Network Technique
The paper presents two methods of dynamic error correction applied to transducers used for the measurement of gas concentration. One of them is based on a parametric model of the transducer dynamics, and the second one uses the artificial neural network (ANN) technique. This article describes resear...
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Format: | Article |
Language: | English |
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MDPI AG
2016-08-01
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Series: | Sensors |
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Online Access: | http://www.mdpi.com/1424-8220/16/8/1267 |