# Air pollution prediction by using an artificial neural network model

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/air-pollution-prediction-by-using-an-artificial-neural-network-model/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Heidar Maleki,Armin Sorooshian,Gholamreza Goudarzi,Zeynab Baboli,Yaser Tahmasebi Birgani,Mojtaba Rahmati |
| Citations | 254 |
| DOI | 10.1007/s10098-019-01709-w |
| Fields | Earth and Planetary Sciences,Environmental Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/8075317 |
| OpenAlex ID | https://openalex.org/W2947059554 |
| PMID | 33907544 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Gholamreza Goudarzi](https://scholariq.org/researchers/gholamreza-goudarzi/)

## Paper primary topic

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)

## Paper topics

- [Air Quality Monitoring and Forecasting](https://scholariq.org/topics/air-quality-monitoring-and-forecasting/)
- [Air Quality and Health Impacts](https://scholariq.org/topics/air-quality-and-health-impacts/)
- [Atmospheric chemistry and aerosols](https://scholariq.org/topics/atmospheric-chemistry-and-aerosols/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.