Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forec...
Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forecasting
About this item
Full title
Author / Creator
Publisher
Maringa: Editora da Universidade Estadual de Maringá - EDUEM
Journal title
Language
English
Formats
Publication information
Publisher
Maringa: Editora da Universidade Estadual de Maringá - EDUEM
Subjects
More information
Scope and Contents
Contents
Air pollution is a relevant issue studied worldwide, and its prediction is important for social and economic management. Linear multivariate regression models (LMR) and artificial neural networks (ANN) are widely applied to forecasting concentrations of pollutants. However, unorganized machines are scarcely used. The present investigation proposes...
Alternative Titles
Full title
Unorganized machines and linear multivariate regression model applied to atmospheric pollutant forecasting
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2439663836
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2439663836
Other Identifiers
ISSN
1806-2563
E-ISSN
1807-8664,1806-2563
DOI
10.4025/actascitechnol.v42i1.48203
