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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Yan Guo, Wei Tang, Guanghua Hou, Fei Pan, Yubo Wang, Wei Wang
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
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
Accès en ligne:https://doaj.org/article/26159ca290c34267be2bb61213fe78a6
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://doaj.org/article/26159ca290c34267be2bb61213fe78a6

Documents similaires