Using self-organizing maps to develop ambient air quality classifications: a time series example
Using self-organizing maps to develop ambient air quality classifications: a time series example
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Publisher
England: BioMed Central Ltd
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Language
English
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Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Development of exposure metrics that capture features of the multipollutant environment are needed to investigate health effects of pollutant mixtures. This is a complex problem that requires development of new methodologies.
Present a self-organizing map (SOM) framework for creating ambient air quality classifications that group days with simil...
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Full title
Using self-organizing maps to develop ambient air quality classifications: a time series example
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4098670
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4098670
Other Identifiers
ISSN
1476-069X
E-ISSN
1476-069X
DOI
10.1186/1476-069X-13-56
