Comparison of BP and LSTM Neural Network for Hydrologic Forecasting of a Small Watershed in Fujian

LSTM (long short-term memory) neural network is a type of recurrent neural network with feedback connections, which can learn the state characteristics between time series data. So it is very suitable for rainfall-runoff forecasting. According to the hourly rainfall and runoff data of the Duli Hydro...

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Bibliographic Details
Main Authors:	CUI Wei, GU Ranhao, CHEN Benyue, WANG Wen
Format:	Article
Language:	zho
Published:	Editorial Office of Pearl River 2020-01-01
Series:	Renmin Zhujiang
Subjects:	Long short-term memory(LSTM)artificial neural network rainfall-runoff forecasting flood forecasting data-driven model
Online Access:	http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.02.011
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Comparison of BP and LSTM Neural Network for Hydrologic Forecasting of a Small Watershed in Fujian

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