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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Neural network forecast of daily pollution concentration using optimal meteorological data at synoptic and local scales

Participants in the publication
Ana Russo (Author)
Instituto Dom Luiz
IDL - Instituto Dom Luiz
Pedro G. Lind (Author)
Frank Raischel (Author)
Ricardo Trigo (Author)
Dep. Engenharia Geográfica, Geofísica e Energia
IDL - Instituto Dom Luiz
Manuel Mendes (Author)

Date of Publication
2015-05

Where published
Atmospheric Pollution Research

Publication Identifiers
ISSN - 1309-1042

Publisher
Elsevier BV

Volume
6
Number
3

Number of pages
9
Starting page
540
Last page
549

Document Identifiers
DOI - https://doi.org/10.5094/apr.2015.060
URL - http://dx.doi.org/10.5094/apr.2015.060

Rankings
SCOPUS Q2 (2019) - 5.2 - Atmospheric Science
Web Of Science 3.527 (2019) - Q2 - ENVIRONMENTAL SCIENCES - SCIE


Export

APA
Ana Russo, Pedro G. Lind, Frank Raischel, Ricardo Trigo, Manuel Mendes, (2015). Neural network forecast of daily pollution concentration using optimal meteorological data at synoptic and local scales. Atmospheric Pollution Research, 6, 540-549. ISSN 1309-1042. eISSN . http://dx.doi.org/10.5094/apr.2015.060

IEEE
Ana Russo, Pedro G. Lind, Frank Raischel, Ricardo Trigo, Manuel Mendes, "Neural network forecast of daily pollution concentration using optimal meteorological data at synoptic and local scales" in Atmospheric Pollution Research, vol. 6, pp. 540-549, 2015. 10.5094/apr.2015.060

BIBTEX
@article{47719, author = {Ana Russo and Pedro G. Lind and Frank Raischel and Ricardo Trigo and Manuel Mendes}, title = {Neural network forecast of daily pollution concentration using optimal meteorological data at synoptic and local scales}, journal = {Atmospheric Pollution Research}, year = 2015, pages = {540-549}, volume = 6 }