Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
747310 | Sensors and Actuators B: Chemical | 2006 | 5 Pages |
Abstract
This paper presents a system, which is made of an array of eight phthalocyanine-coated QCM sensors and an ANN to find the corresponding composition of a gas mixture. The digital data collected from the sensor responses were preprocessed by a sliding window algorithm, and then used to train a three layer ANN to determine the gas compositions. The system is tested with the following gas mixtures: (1) ethanol–acetone, (2) ethanol–trichloroethylene, (3) acetone–trichloroethylene. The success rate of the system in identifying the constituent component amounts is 84.5 and 94.3%. Similarly, overall average prediction error is 10.6%.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
A. Özmen, F. Tekce, M.A. Ebeoğlu, C. Taşaltın, Z.Z. Öztürk,