CEEMD-LASSO-ELM nonlinear combined model of air quality index prediction for four cities in China-Reference-Cited by-同舟云学术

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CEEMD-LASSO-ELM nonlinear combined model of air quality index prediction for four cities in China

Published:2023-06-20 Issue:3 Volume:30 Page:309-334
ISSN:1352-8505
Container-title:Environmental and Ecological Statistics
language:en
Short-container-title:Environ Ecol Stat

Author:

Zhu Suling,Wang Peiqi,Wang Ruyi,Li Min,Che Jinxing,Wang Xinlu

Funder

Fundamental Research Funds for the Central Universities

2022 Gansu Province Outstanding Graduate Student "Innovation Star" Project

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,General Environmental Science,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s10651-023-00562-x.pdf

Reference50 articles.

1. Bates JM, Granger CWJ (1969) The combination of forecasts. J Oper Res Soc 20(4):451–468. https://doi.org/10.1057/jors.1969.103

2. Breiman L (1996) Stacked regressions. Machine Learning 24: 49–64.https://doi.org/10.1023/A:1018046112532

3. Bunn DW (1975) A Bayesian approach to the linear combination of forecasts. J Oper Res Soc 26(2):325–329. https://doi.org/10.1057/jors.1975.67

4. Chattopadhyay S, Bandyopadhyay G (2007) Artificial neural network with backpropagation learning to predict mean monthly total ozone in Arosa. Switzerland Int J Remote Sens 28(20):4471–4482. https://doi.org/10.1080/01431160701250440

5. Che JX (2015) Optimal sub-models selection algorithm for combination forecasting model. Neurocomputing 151:364–375. https://doi.org/10.1016/j.neucom.2014.09.028

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