研究了神经网络模型与物理模型和迁移学习相结合的实际应用,以预测低地排水泵站的前所未有的洪水

IF 1.9 4区 农林科学 Q2 AGRICULTURAL ENGINEERING
N. Kimura, H. Minakawa, M. Kimura, Yudai Fukushige, Daichi Baba
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本文章由计算机程序翻译,如有差异,请以英文原文为准。

Examining practical applications of a neural network model coupled with a physical model and transfer learning for predicting an unprecedented flood at a lowland drainage pumping station

Examining practical applications of a neural network model coupled with a physical model and transfer learning for predicting an unprecedented flood at a lowland drainage pumping station
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来源期刊
Paddy and Water Environment
Paddy and Water Environment AGRICULTURAL ENGINEERING-AGRONOMY
CiteScore
4.70
自引率
4.50%
发文量
36
审稿时长
2 months
期刊介绍: The aim of Paddy and Water Environment is to advance the science and technology of water and environment related disciplines in paddy-farming. The scope includes the paddy-farming related scientific and technological aspects in agricultural engineering such as irrigation and drainage, soil and water conservation, land and water resources management, irrigation facilities and disaster management, paddy multi-functionality, agricultural policy, regional planning, bioenvironmental systems, and ecological conservation and restoration in paddy farming regions.
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