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- Evolving Spiking Neural Network Model for PM₂.₅ Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai
- Evolving Spiking Neural Network Model for PM₂.₅ Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai
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題名 | Evolving Spiking Neural Network Model for PM₂.₅ Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai= |
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作者 | Liu, Hengyuan; Lu, Guibin; Wang, Yangjun; Kasabov, Nikola; |
期刊 | Aerosol and Air Quality Research |
出版日期 | 20210200 |
卷期 | 21:2 2021.02[民110.02] |
頁次 | 頁(15)1-(15)15 |
分類號 | 445.63 |
語文 | eng |
關鍵詞 | Air pollutant prediction; PM₂.₅ hourly concentration; Seasonality; Evolving spiking neural networks; Time series clustering; |