The estimations of ammonia concentration by using neural network SH-SAW sensors-Reference-Cited by-同舟云学术

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The estimations of ammonia concentration by using neural network SH-SAW sensors

Published:2011-05 Issue:5 Volume:38 Page:4774-4779
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Yang Jen-Pin,Shen Chi-Yen,Chen Yu-Ju,Huang Huang-Chu,Hwang Rey-Chue

Funder

National Science Council, R.O.C

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference14 articles.

1. Gas sensors based on conducting polymers;Bai;Sensors,2007

2. Remote detection of gaseous ammonia using the near infrared transmission properties of polyaniline;Christie;Sensors and Actuators B: Chemical,2003

3. Comparison of sol–gel and ion beam deposited MoO3 thin film gas sensors for selective ammonia detection;Prasad;Sensors and Actuators B: Chemical,2003

4. Quantum neural networks (QNN’s): Inherently fuzzy feed-forward neural networks;Purushothaman;IEEE Transactions on Neural Network,1997

5. Ammonia sensors based on metal oxide nanostructures;Rout;Nanotechnology,2007

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1. Environmental odour management by artificial neural network – A review;Environment International;2019-12

2. Humidity effect on adsorption kinetics of ammonia onto electrospun SnO2 nanofibers;Materials Research Express;2019-01-18

3. Elastic Property Estimation of Surface Layer of Layered Structure by Measuring Love Wave Propagation Characteristics using Laser Doppler Vibrometer;International Journal of the Society of Materials Engineering for Resources;2018-03-31

4. Surface acoustic wave ammonia sensor based on ZnO/SiO2 composite film;Journal of Hazardous Materials;2015-03

5. A novel optimal sensitivity design scheme for yarn tension sensor using surface acoustic wave device;Ultrasonics;2014-08

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