PM
Backward elimination
Genetic algorithm
Modified depth-first search (DFS)
Multilayer perceptron neural network (MLP)
Particulate matter (PM(10)) forecast
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
20 Jul 2020
20 Jul 2020
Historique:
received:
22
01
2020
revised:
24
03
2020
accepted:
04
04
2020
pubmed:
26
4
2020
medline:
26
4
2020
entrez:
26
4
2020
Statut:
ppublish
Résumé
Atmospheric particulate matter (PM) is an important factor that influences the weather and climate changes which have an impact on life and Earth. In this study, we attempt to forecast PM
Identifiants
pubmed: 32334215
pii: S0048-9697(20)32020-9
doi: 10.1016/j.scitotenv.2020.138507
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
138507Informations de copyright
Copyright © 2018 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest We have no conflict of interest statement.