An artificial neural network ensemble approach to generate air pollution maps
An artificial neural network ensemble approach to generate air pollution maps
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Author / Creator
Publisher
Cham: Springer International Publishing
Journal title
Language
English
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Publication information
Publisher
Cham: Springer International Publishing
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Scope and Contents
Contents
The objective of this research is to propose an artificial neural network (ANN) ensemble in order to estimate the hourly NO
2
concentration at unsampled locations. Spatial interpolation methods and linear regression models with regularization have been compared to perform the ensemble. The study case is based on the region of the Bay of Algec...
Alternative Titles
Full title
An artificial neural network ensemble approach to generate air pollution maps
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_miscellaneous_2313375420
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2313375420
Other Identifiers
ISSN
0167-6369
E-ISSN
1573-2959
DOI
10.1007/s10661-019-7901-6
