首页|期刊导航|Atmospheric and Oceanic Science Letters|Comparative study on the performance of ConvLSTM and ConvGRU in classification problems-taking early warning of short-duration heavy rainfall as an example

Comparative study on the performance of ConvLSTM and ConvGRU in classification problems-taking early warning of short-duration heavy rainfall as an example

Meng Zhou Jingya Wu Mingxuan Chen Lei Han

Atmospheric and Oceanic Science Letters2024，Vol.17Issue(4)：P.52-57,6.

Atmospheric and Oceanic Science Letters2024，Vol.17Issue(4)：P.52-57,6.DOI:10.1016/j.aosl.2024.100494

Comparative study on the performance of ConvLSTM and ConvGRU in classification problems-taking early warning of short-duration heavy rainfall as an example

Meng Zhou ¹Jingya Wu ²Mingxuan Chen ²Lei Han³

作者信息

1. Faculty of Information Science and Engineering,Ocean University of China,Qingdao,China Institute of Urban Meteorology,China Meteorological Administration,Beijing,China
2. Institute of Urban Meteorology,China Meteorological Administration,Beijing,China
3. Faculty of Information Science and Engineering,Ocean University of China,Qingdao,China
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摘要

关键词

深度学习/卷积长短期记忆单元/卷积门控循环单元/分类问题

分类

天文与地球科学

引用本文复制引用

Meng Zhou,Jingya Wu,Mingxuan Chen,Lei Han..Comparative study on the performance of ConvLSTM and ConvGRU in classification problems-taking early warning of short-duration heavy rainfall as an example[J].Atmospheric and Oceanic Science Letters,2024,17(4):P.52-57,6.

基金项目

This study was jointly funded by the National Key R&D Program of China[grant number 2022YFC3004103] （）

the National Natural Foundation of China[grant number 42275003] （）

the Beijing Science and Technology Program[grant number Z221100005222012] （）

the Beijing Meteorological Service Science and Technology Program[grant number BMBKJ202302004] （）

the China Meteorological Administration Youth Innovation Team[grant number CMA2023QN10]. （）

Atmospheric and Oceanic Science Letters

ISSN：1674-2834

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