Identification of significant factors for air pollution levels using a neural network based knowledge discovery system

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...

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Bibliographic Details
Main Authors: Chan, Kit Yan, Jian, Le
Format: Journal Article
Published: Elsevier Science B.V. 2013
Subjects:
Air pollution
Main effect analysis
Particulate matter
Artificial neural network
Air monitoring
Meteorological factors
Online Access:http://hdl.handle.net/20.500.11937/22793

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