Research on Precipitation Forecast Based on LSTM–CP Combined Model

Research on Precipitation Forecast Based on LSTM–CP Combined Model

The tremendous progress made in the field of deep learning allows us to accurately predict precipitation and avoid major and long-term disruptions to the entire socio-economic system caused by floods. This paper presents an LSTM–CP combined model formed by the Long Short-Term Memory (LSTM) network a...

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Bibliographic Details
Main Authors: Yan Guo, Wei Tang, Guanghua Hou, Fei Pan, Yubo Wang, Wei Wang
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
precipitation forecast
long short-term memory network
Chebyshev polynomial
BP neural network
Environmental effects of industries and plants
TD194-195
Renewable energy sources
TJ807-830
Environmental sciences
GE1-350
Online Access:https://doaj.org/article/26159ca290c34267be2bb61213fe78a6
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https://doaj.org/article/26159ca290c34267be2bb61213fe78a6

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