Sulfur dioxide AQI modeling by artificial neural network in Tehran between 2007 and 2013
Background: Air pollution and concerns about health impacts have been raised in metropolitan cities like Tehran. Trend and prediction of air pollutants can show the effectiveness of strategies for the management and control of air pollution. Artificial neural network (ANN) technique is widely used a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Kerman University of Medical Sciences
2015-12-01
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| Series: | Environmental Health Engineering and Management |
| Subjects: | |
| Online Access: | http://ehemj.com/browse.php?a_id=111&sid=1&slc_lang=en |