Title :
Application of Intelligent Information Processing Technology for Air Quality Assessment
Author :
Liu, Sheng-rong ; Cao, Xiao-qiang
Author_Institution :
Qingdao Technol. Univ., Qingdao
Abstract :
On the base of hardware structure of the air quality assessment and monitoring system, the air quality assessment and monitoring system was abstracted and simplified, and then the fused air quality assessment information processing model was established. The paper uses the fusion of rough set and neural network to establish an intelligent information process system model for air quality assessment. At the end of the paper, the genetic algorithm-ant algorithm (GAAA) which optimized the error back propagation (BP) neural network was proposed. The simulation results indicated that the proposed system in the paper was better than other assessment methods in vivacity of physics model and comparable of assessment result.
Keywords :
backpropagation; data mining; genetic algorithms; rough set theory; air quality assessment; air quality monitoring system; error back propagation neural network; genetic algorithm-ant algorithm; intelligent information process system model; intelligent information processing technology; rough set; Chemical technology; Cities and towns; Data mining; Electronic mail; Hardware; Information processing; Intelligent systems; Monitoring; Neural networks; Quality assessment; Data fusion; Data mining; Information processing; Rough set;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Jinan Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.646