JOURNAL ARTICLE

A comparative study of the feed forward back propagation (FFBP) and layer recurrent (LR) neural network model for forecasting ground level ozone concentration

Amit Kumar GoraiGargi Mitra

Year: 2016 Journal:   Air Quality Atmosphere & Health Vol: 10 (2)Pages: 213-223   Publisher: Springer Science+Business Media
Keywords:
Mean squared error Artificial neural network Ozone Environmental science Wind speed Meteorology Troposphere Ground Level Ozone Pollutant Tropospheric ozone Human health Coefficient of determination Relative humidity Humidity Atmospheric sciences Statistics Computer science Mathematics Machine learning Geography Chemistry Geology

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20
Cited By
1.25
FWCI (Field Weighted Citation Impact)
43
Refs
0.81
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Air Quality Monitoring and Forecasting
Physical Sciences →  Environmental Science →  Environmental Engineering
Air Quality and Health Impacts
Physical Sciences →  Environmental Science →  Health, Toxicology and Mutagenesis
Atmospheric chemistry and aerosols
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
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