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
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;
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
DOI :
10.1109/CHICC.2008.4605658
