DocumentCode :
2737225
Title :
The Identification of Ammonia Concentration by QNN
Author :
Shen, Chi-Yen ; Yang, Jen-Pin ; Hwang, Rey-Chue ; Wang, De-Lu
Author_Institution :
I- Shou Univ., Kaohsiung
fYear :
2007
fDate :
5-7 Sept. 2007
Firstpage :
272
Lastpage :
272
Abstract :
In this paper, the humidity interference on the ammonia sensors was studied and proposed. The shear horizontal surface acoustic wave (SH-SAW) devices coated with L-glutamic acid hydrochloride were applied as ammonia sensors. The responses to ammonia in the humid environment were positive frequency shifts and the perturbation was primarily from the elastic effect. In order to precisely estimate the ammonia in humid air, the quantum neural network (QNN) is used as the identifier and its identification results are reported.
Keywords :
ammonia; chemical sensors; computerised instrumentation; elasticity; humidity; quantum computing; surface acoustic wave devices; L-glutamic acid hydrochloride; ammonia concentration identification; ammonia sensors; elastic effect; humidity interference; quantum neural network; shear horizontal surface acoustic wave devices; Acoustic sensors; Biomedical equipment; Blood; Chemical industry; Humans; Humidity; Interference; Medical services; Neural networks; Temperature sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
Type :
conf
DOI :
10.1109/ICICIC.2007.574
Filename :
4427917
Link To Document :
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