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《Bulletin of Science and Technology》 2013-10
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The Establishment and Application Research of Urban Air Pollution Prediction Model

Qiu Mei;Sichuan Technology and Business College;  
At present,the urban air pollution problem is getting worse,in order to better solve the problem of inaccuracy of urban air pollution forecast,this paper proposes a prediction model of air pollution based on time series and artificial neural network.Firstly,using the time series method to put the collected data into statistics,then taking the statistical results as a sample to input artificial neural network model,and then taking the sample data obtained by the neural network training into forecast analysis by using the trend extrapolation.The simulation results show that the prediction results of the proposed urban air pollution model based on time series and artificial neural network are quite close with the actual results,the scheme is practical and effective and worth for spreading use.
【CateGory Index】: X51
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