Spatio-temporal learning in predicting ambient particulate matter concentration by multi-layer perceptron

Autore
E. Chianese
F. Camastra
A. Ciaramella
T.C. Landi
A. Staiano
A. Riccio
Parole chiave
Air quality
ambient air
artificial neural network
concentration (composition)
early warning system
learning
methodology
monitoring system
numerical model
Particulate Matter
prediction
real time
spatiotemporal analysis
Italy
Year of Publication
2019
Journal
Ecological Informatics
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85058133403&doi=10.1016%2fj.ecoinf.2018.12.001&partnerID=40&md5=8d57f3944344272db464b27ecca3a4a3
DOI
10.1016/j.ecoinf.2018.12.001