Convolutional LSTM network: A machine learning approach for precipitation nowcasting

Advances in Neural Information Processing Systems

Volumn 2015-January, Issue , 2015, Pages 802-810

  Shi, Xingjian ^a   Chen, Zhourong ^a   Wang, Hao ^a   Yeung, Dit Yan ^a   Wong, Wai Kin ^b   Woo, Wang Chun ^b  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^b HONG KONG OBSERVATORY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONVOLUTION; FORECASTING; INFORMATION SCIENCE; LEARNING SYSTEMS; PRECIPITATION (METEOROLOGY);

FORECASTING PROBLEMS; INPUT-TO-STATE; MACHINE LEARNING APPROACHES; NETWORK CAPTURE; RAINFALL INTENSITY; SHORT PERIODS; SPATIOTEMPORAL CORRELATION; STATE-TO-STATE TRANSITION;

WEATHER FORECASTING;

EID: 84965121965     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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