期刊名称：Advance Journal of Food Science and Technology
印刷版ISSN：2042-4868
电子版ISSN：2042-4876
出版年度：2016
卷号：11
期号：4
页码：274-280
DOI：10.19026/ajfst.11.2410
出版社：MAXWELL Science Publication
摘要：The accurate prediction of PM2.5 concentration in a agricultural park is important to understand the role agricultural park plays in regulating PM2.5 pollution and guide public close to the nature healthily. An artificial neural network model was established, with meteorological data, atmospheric PM2.5 concentration outside the agricultural park and agricultural park structure as the input factors and PM2.5 hourly average concentration inside the agricultural park as the output factors. Its prediction accuracy was also evaluated in this study. The results show that it can be concluded that BP artificial neural network model is a promising approach in predicting PM2.5 concentration inside a agricultural park.
