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Dynamically pre-trained deep recurrent neural networks using environmental monitoring data for predicting PM(2.5)
Fine particulate matter ([Formula: see text] ) has a considerable impact on human health, the environment and climate change. It is estimated that with better predictions, US$9 billion can be saved over a 10-year period in the USA (State of the science fact sheet air quality. http://www.noaa.gov/fac...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2015
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920860/ https://www.ncbi.nlm.nih.gov/pubmed/27418719 http://dx.doi.org/10.1007/s00521-015-1955-3 |