Prediction of Extreme Precipitation Events Based on LSTM-Self Attention Model-Reference-Cited by-同舟云学术

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Prediction of Extreme Precipitation Events Based on LSTM-Self Attention Model

Published:2024-01-26 Issue: Volume:37 Page:91-97
ISSN:
Container-title:2024 8th International Conference on Control Engineering and Artificial Intelligence
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Author:

Luo Guilan¹^ORCID,Cao Anqi²^ORCID,Ma Xin¹^ORCID,Hu Anshun¹^ORCID,Wang Caikui¹^ORCID

Affiliation:

1. School of Mathematics and Computer , Dali University, China

2. School of Mathematics and Computer, Dali University, China

Funder

The National Natural Science Fund project: Research on the Network Ecological Behavior of the Universal Habitat of Erhai Wetland Insect Community (No.61661001)

Academician Wang Jingxiu Workstation Project of Yunnan Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3640824.3640838

Reference21 articles.

1. Analysis of social adaptation strategies of disaster immigrants under the background of extreme climate change [J];Shengbing He;Water Conservancy Economics,2019

2. Extreme weather and climate events and disaster prevention and mitigation in the context of climate warming [J];Panmao Zhai;Chinese Engineering Science,2012

3. New understanding and enlightenment of IPCC Special Report SRCCL on climate change and food security[J];Yinlong Xu;Progress in Climate Change Research,2020

4. Sun Peng, Xiao Mingzhong, Zhang Qiang, Research progress on hydrometeorological extreme events [J]. Journal of Wuhan University (Science Edition), 2018, 64(01): 28-36.

5. Predictability of summer extreme precipitation days over eastern China

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