Reservoir Flood Forecasting Based on Long-Short-Term Memory Neural Network

Reservoir Flood Forecasting Based on Long-Short-Term Memory Neural Network

Accurate flood forecasting is one of the main means to well perform flood control and drainage,and the long-short-term memory neural network (LSTM) has a strong ability to fit time series relationships,which thus is very suitable for simulating and forecasting the complex time series process of basi...

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Bibliographic Details
Main Authors: LUO Zhaolin, ZHANG Bo, MENG Qingkui, CHEN Wufen
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2022-01-01
Series:Renmin Zhujiang
Subjects:
flood forecasting
LSTM
forecast period
training speed
Baipenzhu Reservoir
Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.12.018
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http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2022.12.018

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