Research of the Application of RBF Neural Network to the Evaluation of Atmosphere Environmental Quality of Guiyang
In this essay the measured data of air pollution index (API) was trained by building Radial Basis Function Artificial Neural Network (RBF-ANN). A model was built to fit and evaluate urban API on the basis of the concentration of SO2,NO2and repairable paniculate matter (PM10) in atmosphere.The result of the application example showed that the application of RBF neural network in atmosphere environmental quality assessment was feasible and reasonable.And a forecasting model of the time series of API of the investigated city was built with the method of RBF neural network to research and predict the varying trend of API.
RBF neural network Atmosphere Environmental Quality API fitting & forcast
Gong Minqing Sun Mingwei Jin Mingzhong
Science College,Guizhou University,Guiyang,Guizhou,PR China 550025 Department of Research,Guizhou University for Nationalities,Guiyang,Guizhou,PR China 550025
国际会议
太原
英文
105-107
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）