Deep learning model on rates of change for multi-step ahead streamflow forecasting

Deep learning model on rates of change for multi-step ahead streamflow forecasting

Water security and urban flooding have become major sustainability issues. This paper presents a novel method to introduce rates of change as the state-of-the-art approach in artificial intelligence model development for sustainability agenda. Multi-layer perceptron (MLP) and deep learning long shor...

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Bibliographic Details
Main Authors: Woon Yang Tan, Sai Hin Lai, Kumar Pavitra, Fang Yenn Teo, Ahmed El-Shafie
Format: Article
Language:English
Published: IWA Publishing 2023-09-01
Series:Journal of Hydroinformatics
Subjects:
artificial intelligence
neural network
rates of change
streamflow forecasting
Online Access:http://jhydro.iwaponline.com/content/25/5/1667

Internet

http://jhydro.iwaponline.com/content/25/5/1667

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