Research on Applied-Information Technology with PM2.5 Generation and Evolution Model Based on BP Neural Network
2014 ◽
Vol 1003
◽
pp. 226-229
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Keyword(s):
In this paper, BP neural network model is used to establish the occurrence and evolution model of PM2.5 in an area in Xi'an city. In the model, wind, humidity, season, SO2,NO2,PM10, CO,O3 (in one hour ) and O3 (in eight hours ) and other influence factors are all considered. The model has good reliability, it can accurately forecast the value of PM2.5 and its variation in the near future, which can provide the basis for the PM2.5 control.
2014 ◽
Vol 505-506
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pp. 274-277
2011 ◽
Vol 66-68
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pp. 788-792
2012 ◽
Vol 619
◽
pp. 3-8
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2021 ◽
Vol 1744
(4)
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pp. 042232
Keyword(s):
Keyword(s):
2010 ◽
Vol 34-35
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pp. 301-305