| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10322614 | Expert Systems with Applications | 2011 | 6 Pages |
Abstract
⺠This paper presents the estimations of ammonia concentration by using neural network (NN) models. ⺠The shear horizontal surface acoustic wave (SH-SAW) devices coated with L-glutamic acid hydrochloride and polyaniline (PANI) film, respectively, were applied as the ammonia sensors. ⺠The signal sensed by SH-SAW sensors were implemented by using different NN models for the estimation of ammonia concentration. ⺠A reliable and superior neural network SAW identifier is expected to be found for effectively overcoming the interference of humidity in ammonia detection.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jen-Pin Yang, Chi-Yen Shen, Yu-Ju Chen, Huang-Chu Huang, Rey-Chue Hwang,