A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

出版年份 2019 全文链接

标题

作者

关键词

Air pollution forecasting, Spatiotemporal data modelling, Graph convolutional neural network, Long short-term memory, Deep learning

出版物

SCIENCE OF THE TOTAL ENVIRONMENT

Volume 664, Issue -, Pages 1-10

出版商

Elsevier BV

发表日期

2019-02-01

DOI

10.1016/j.scitotenv.2019.01.333

向作者/读者发起求助以获取更多资源

Protocol

在线求助

Reagent

在线求助

Reprint

联系作者

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