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Day-Ahead PM(2.5) Concentration Forecasting Using WT-VMD Based Decomposition Method and Back Propagation Neural Network Improved by Differential Evolution

Accurate PM(2.5) concentration forecasting is crucial for protecting public health and atmospheric environment. However, the intermittent and unstable nature of PM(2.5) concentration series makes its forecasting become a very difficult task. In order to improve the forecast accuracy of PM(2.5) conce...

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Vydáno v:Int J Environ Res Public Health
Hlavní autoři: Wang, Deyun, Liu, Yanling, Luo, Hongyuan, Yue, Chenqiang, Cheng, Sheng
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI 2017
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5551202/
https://ncbi.nlm.nih.gov/pubmed/28704955
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph14070764
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