Long short-term memory neural network for air pollutant concentration predictions: Method development and evaluation

Published 2017 View Full Article

Authors

Keywords

Air pollutant concentration predictions, Long short-term memory neural network (LSTM NN), Recurrent neural network, Spatiotemporal correlation, Multiscale prediction

Journal

ENVIRONMENTAL POLLUTION

Volume 231, Issue -, Pages 997-1004

Publisher

Elsevier BV

Online

2017-09-25

DOI

10.1016/j.envpol.2017.08.114

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now