Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series

标题
Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series
作者
关键词
Air quality, Deep learning, Long-interval consecutive missing values, Long short-term memory (LSTM), Neural network, Transfer learning
出版物
ADVANCED ENGINEERING INFORMATICS
Volume 44, Issue -, Pages 101092
出版商
Elsevier BV
发表日期
2020-04-03
DOI
10.1016/j.aei.2020.101092

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now