Portable electronic nose system with gas sensor array and artificial neural network

2000 ◽  
Vol 66 (1-3) ◽  
pp. 49-52 ◽  
Author(s):  
Hyung-Ki Hong ◽  
Chul Han Kwon ◽  
Seung-Ryeol Kim ◽  
Dong Hyun Yun ◽  
Kyuchung Lee ◽  
...  
2020 ◽  
Vol MA2020-01 (26) ◽  
pp. 1856-1856
Author(s):  
Yu-Chieh Cheng ◽  
Ting-I Chou ◽  
Jye-Luen Lee ◽  
Shih-Wen Chiu ◽  
Kea Tiong Tang

2011 ◽  
Vol 55-57 ◽  
pp. 1819-1823
Author(s):  
Yin Long Wang ◽  
Ke Cheng Lin ◽  
Xi Wu Wang ◽  
Zhi Guang Geng ◽  
Qi Gen Zhong

On the basis of the brief overview of principles of the gas detection system, this paper has analyzed the characteristics, structure and identification theory to explain the method of gas detection based on an artificial neural network. And it has analyzed and researched gas detection system based on neural network and thus solved the problems such as cross-sensitiveness in present gas sensor. The results show that the gas sensor array "cross-sensitive" issue can be effectively solved through the combination of the pattern recognition of artificial neural network and the gas sensor array technology, which accordingly realizes qualitative identification for different gases and has broad application prospects.


1996 ◽  
Vol 36 (1-3) ◽  
pp. 338-341 ◽  
Author(s):  
Hyung-Ki Hong ◽  
Hyun Woo Shin ◽  
Dong Hyun Yun ◽  
Seung-Ryeol Kim ◽  
Chul Han Kwon ◽  
...  

2009 ◽  
Vol 141 (2) ◽  
pp. 538-543 ◽  
Author(s):  
N. El Barbri ◽  
J. Mirhisse ◽  
R. Ionescu ◽  
N. El Bari ◽  
X. Correig ◽  
...  

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