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Air pollution prediction by using an artificial neural network model
Air pollutants impact public health, socioeconomics, politics, agriculture, and the environment. The objective of this study was to evaluate the ability of an artificial neural network (ANN) algorithm to predict hourly criteria air pollutant concentrations and two air quality indices, air quality in...
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| Pubblicato in: | Clean Technol Environ Policy |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8075317/ https://ncbi.nlm.nih.gov/pubmed/33907544 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10098-019-01709-w |
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