Air Quality Prediction Using Improved PSO-BP Neural Network
Predicting urban air quality is a significant aspect of preventing urban air pollution and improving the living environment of urban residents. The air quality index (AQI) is a dimensionless tool for quantitatively describing air quality. In this paper, a method for optimizing back propagation (BP)...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9102994/ |