Identification of significant factors for air pollution levels using a neural network based knowledge discovery system
Artificial neural network (ANN) is a commonly used approach to estimate or forecast air pollution levels, which are usually assessed by the concentrations of air contaminants such as nitrogen dioxide, sulfur dioxide, carbon monoxide, ozone, and suspended particulate matters (PMs) in the atmosphere o...
| Main Authors: | , |
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| Format: | Journal Article |
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Elsevier Science B.V.
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/22793 |