Title | ||
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Multivariate Air Quality Forecasting With Nested Long Short Term Memory Neural Network |
Abstract | ||
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Artificial intelligence-based air quality index (AQI) forecasting is a hot research topic in the fields of sustainable and smart industrial environment design. There are mainly two obstacles that hinder the existing machine learning (ML) and deep learning (DL) technologies providing accurate forecasting results to protect the environment, which include the intercorrelation between different AQI co... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/TII.2021.3065425 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Forecasting,Neural networks,Predictive models,Long short term memory,Deep learning,Time series analysis,Biological system modeling | Journal | 17 |
Issue | ISSN | Citations |
12 | 1551-3203 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
N. Jin | 1 | 6 | 4.24 |
Yongkang Zeng | 2 | 2 | 0.70 |
Ke Yan | 3 | 3 | 1.74 |
Zhiwei Ji | 4 | 1 | 1.02 |