The Identifications of Ammonia Concentration by Different Neural Models

Author

Yang, Jen-Pin ; Shen, Chi-Yen ; Chen, Yu-Ju ; Chang, Chuo-Yean ; Hwang, Rey-Chue

Author_Institution

Dept. of Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan

Volume

3

fYear

2010

fDate

13-14 March 2010

Firstpage

881

Lastpage

884

Abstract

This paper presents the identifications of ammonia concentration by using several different neural network (NN) models. The shear horizontal surface acoustic wave (SH-SAW) device coated with polyaniline (PANI) film was applied as ammonia sensor. The data sensed by SH-SAW sensor was implemented by these NN models. A reliable and superior intelligent identifier is expected to be found for effectively overcoming the interference of humidity in ammonia detection.

Keywords

ammonia; chemical sensors; computerised instrumentation; neural nets; polymer films; surface acoustic wave devices; PANI film; SH-SAW device; SH-SAW sensor; ammonia concentration identification; ammonia sensor; intelligent identifier; neural network models; polyaniline film; shear horizontal surface acoustic wave; Acoustic sensors; Acoustic signal detection; Acoustic waves; Humans; Humidity; Intelligent sensors; Interference; Neural networks; Surface acoustic waves; Transfer functions; ammonia; identifications; neural network; sensor;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.175

Filename

5459541