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Prediction of tropospheric ozone concentration by employing artificial neural networks



Prediction of tropospheric ozone concentration by employing artificial neural networks



Environmental Engineering Science: 9, 1249-1254



Air pollution modeling and prediction have great importance in preventing the occurrence of air pollution episodes and provide sufficient time to take the necessary precautions. Recently various algorithms such as artificial neural networks (ANNs) is applied to air quality modeling. The present work aims to predict tropospheric ozone concentration by the ANN with three pollutant parameters and eight meteorological factors in selected areas.

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Accession: 032908164

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DOI: 10.1089/ees.2007.0183


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