Recursive neural network model for analysis and forecast of PM10 and PM2.5

Title
Recursive neural network model for analysis and forecast of PM10 and PM2.5
Authors
Keywords
PM10 and PM2.5, Model comparison, Urban pollution, Troposphere, Forecast, Neural networks, Air pollution
Journal
Atmospheric Pollution Research
Volume 8, Issue 4, Pages 652-659
Publisher
Elsevier BV
Online
2017-01-10
DOI
10.1016/j.apr.2016.12.014

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation