A precipitation forecast method based on transfer learning and Long Short Term Memory

A precipitation forecast method based on transfer learning and Long Short Term Memory

A precipitation forecasting method based on transfer learning and Long Short-Term Memory (LSTM) is proposed to provide an objective reference for intelligent grid heavy precipitation forecasting. Transfer learning is a machine learning method that can transfer knowledge learned from the source domai...

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Bibliographic Details
Main Authors: Tianwen HUANG, Fei JIAO, Zhifang WU
Format: Article
Language:zho
Published: Editorial Office of Torrential Rain and Disasters 2024-02-01
Series:暴雨灾害
Subjects:
precipitation forecast
time series
transfer learning
lstm
deep learning
Online Access:http://www.byzh.org.cn/cn/article/doi/10.12406/byzh.2023-118

Internet

http://www.byzh.org.cn/cn/article/doi/10.12406/byzh.2023-118

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