Explore spatio-temporal PM2.5 features in northern Taiwan using machine learning techniques

标题
Explore spatio-temporal PM2.5 features in northern Taiwan using machine learning techniques
作者
关键词
PM2.5, Spatio-temporal variation, Multi-step-ahead prediction, Self-organizing map (SOM), Back propagation neural network (BPNN), Gamma Test
出版物
SCIENCE OF THE TOTAL ENVIRONMENT
Volume 736, Issue -, Pages 139656
出版商
Elsevier BV
发表日期
2020-05-24
DOI
10.1016/j.scitotenv.2020.139656

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