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Analysis and Forecast of Urban Air Quality Based on BP Neural Network

Wenjing Wang

Wenjing Wang

School of Computer Science and Engineering Xi’an Technological UniversityXi’an, China
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Wang, Wenjing
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Shengquan Yang

Shengquan Yang

School of Computer Science and Engineering Xi’an Technological UniversityXi’an, China
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Yang, Shengquan
  
Oct 14, 2020
Analysis and Forecast of Urban Air Quality Based on BP Neural Network's Cover Image
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Published Online: Oct 14, 2020
Page range: 57 - 64
DOI: https://doi.org/10.21307/ijanmc-2020-028
Keywords
© 2020 Wenjing Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

BP neural network learning process
BP neural network learning process

Figure 2.

Log-sigmiod function
Log-sigmiod function

Figure 3.

ReLU function
ReLU function

Figure 4.

Comparison of sample prediction results with real values
Comparison of sample prediction results with real values

COMPARISON BETWEEN MEASURED AND PREDICTED

AQIAQI predictionPM2.5PM 10So2No2CoO3
4556.2127404240.7175
4960.5123476360.6384
5564.3033576350.6284
5768.5439605400.7156
6880.2240675390.7785
6174.3533696470.7071
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Computer Sciences, other
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