Forecasting of daily total atmospheric ozone in Isfahan

A neural network combined to an artificial neural network model is used to forecast daily total atmospheric ozone over Isfahan city in Iran. In this work, in order to forecast the total column ozone over Isfahan, we have examined several neural networks algorithms with different meteorological predi...

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Veröffentlicht in:	Environmental monitoring and assessment 2009-10, Vol.157 (1-4), p.235-241
Hauptverfasser:	Yazdanpanah, H., Karimi, M., Hejazizadeh, Z.
Format:	Artikel
Sprache:	eng
Schlagworte:	Air Pollutants - analysis Air Pollution - statistics & numerical data Algorithms Animal, plant and microbial ecology Applied ecology Applied sciences Atmosphere Atmosphere - chemistry Atmospheric Protection/Air Quality Control/Air Pollution Back propagation Biological and medical sciences Brain Cities Dew point Earth and Environmental Science Ecology Ecotoxicology Ecotoxicology, biological effects of pollution Environment Environmental Management Environmental Monitoring Exact sciences and technology Forecasting Fundamental and applied biological sciences. Psychology Ground stations Iran Learning Models, Statistical Monitoring/Environmental Analysis Neural networks Neural Networks (Computer) Ozone Ozone - analysis Pollution Radiation Stratosphere Studies Wind speed
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