Application of Intelligent Information Processing Technology for Air Quality Assessment

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.