Monthly precipitation prediction using neural network algorithms in the Thua Thien Hue Province

Monthly precipitation prediction using neural network algorithms in the Thua Thien Hue Province

The prediction of precipitation is of importance in the Thua Thien Hue Province, which is affected by climate change. Therefore, this paper suggests two models, namely, the Seasonal Auto-Regressive Integrated Moving Average (SARIMA) model and the Long Short-Term Memory (LSTM) model, to predict the p...

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Bibliographic Details
Main Authors: Nguyen Hong Giang, YuRen Wang, Tran Dinh Hieu, Le Anh Phuong, Nguyen Tien Thinh
Format: Article
Language:English
Published: IWA Publishing 2022-05-01
Series:Journal of Water and Climate Change
Subjects:
lstm
min–max normalization
precipitation
sarima
thua thien hue province
Online Access:http://jwcc.iwaponline.com/content/13/5/2011

Internet

http://jwcc.iwaponline.com/content/13/5/2011

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