A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction

标题
A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction
作者
关键词
Air quality prediction, Bayesian Optimization, Deep learning, Lag-FLSTM, Multivariate inputs, PM2.5
出版物
Sustainable Cities and Society
Volume 60, Issue -, Pages 102237
出版商
Elsevier BV
发表日期
2020-05-29
DOI
10.1016/j.scs.2020.102237

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