Quantification of H2S and NO2 using gas sensor arrays and an artificial neural network

1997 ◽  
Vol 43 (1-3) ◽  
pp. 235-238 ◽  
Author(s):  
B. Yang ◽  
M.C. Carotta ◽  
G. Faglia ◽  
M. Ferroni ◽  
V. Guidi ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Gas Sensor ◽  
Sensor Arrays ◽  
Artificial Neural ◽  
Gas Sensor Arrays

A Zero-Shot Learning Method Using Artificial Neural Network for Drift Calibration of Gas Sensor Array

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
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Gas Sensor ◽  
Sensor Array ◽  
Learning Method ◽  
Gas Sensor Array ◽  
Artificial Neural

Applications of Artificial Neural Network Technique to Polypyrrole Gas Sensor Data for Environmental Analysis

2015 ◽  
Vol 12 (11) ◽  
pp. 4392-4398
Author(s):  
Hamida Darwish ◽  
Ahmad Jafarian ◽  
Dumitru Baleanu ◽  
Mehmet Senel ◽  
Salih Okur
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Gas Sensor ◽  
Environmental Analysis ◽  
Sensor Data ◽  
Artificial Neural

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 ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Gas Sensor ◽  
Electronic Nose ◽  
Sensor Array ◽  
Gas Sensor Array ◽  
Artificial Neural ◽  
Electronic Nose System

Design of a Gas Detection System Based on BP Neural Network

2011 ◽  
Vol 55-57 ◽  
pp. 1819-1823
Author(s):  
Yin Long Wang ◽  
Ke Cheng Lin ◽  
Xi Wu Wang ◽  
Zhi Guang Geng ◽  
Qi Gen Zhong
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Gas Sensor ◽  
Sensor Array ◽  
Detection System ◽  
Gas Detection ◽  
Gas Sensor Array ◽  
Array Technology ◽  
Artificial Neural ◽  
Different Gases

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.

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