Neural Models for Imputation of Missing Ozone Data in Air-Quality Datasets
Ozone is one of the pollutants with most negative effects on human health and in general on the biosphere. Many data-acquisition networks collect data about ozone values in both urban and background areas. Usually, these data are incomplete or corrupt and the imputation of the missing values is a pr...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2018-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/7238015 |