DocumentCode
2668718
Title
Gas thickness on-line monitoring instrument design based on BP neural network
Author
Weiwei, Liu ; Ping, Mu ; Shuguang, Dai ; Shijun, Wang
Author_Institution
Univ. of Shanghai for Sci. & Technol., Shanghai
fYear
2008
fDate
16-18 July 2008
Firstpage
713
Lastpage
716
Abstract
This paper uses neural network to process acquired digital signals on line, realizing automotive recognition to and thickness analysis of three kinds of gas. This method can automatically measure and show working temperature of air-sense organ, and according to a given temperature adjust the temperature, which decreases effect of intercross sensitivity and improves accuracy of measurement results.
Keywords
air pollution measurement; backpropagation; computerised monitoring; environmental science computing; neural nets; BP neural network; automotive recognition; gas thickness; on-line monitoring instrument; Electric resistance; Immune system; Instruments; Monitoring; Neural networks; Neurons; Temperature control; Temperature sensors; Thermal resistance; Transfer functions; Automotive Recognition; BP Neural Network; Intercross Sensitivity; Thickness Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4605658
Filename
4605658
Link To Document