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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Pearl River
2020-01-01
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| Series: | Renmin Zhujiang |
| Subjects: | |
| Online Access: | http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2020.02.011 |
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