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

• 主要な著者: Tan, Woon Yang, Lai, Sai Hin, Kumar, Pavitra, Teo, Fang Yenn, Ahmed, El-Shafie
• フォーマット: 論文
• 言語: English
• 出版事項: IWA Publishing 2023
• 主題: TC Hydraulic engineering. Ocean engineering
• オンライン･アクセス: http://ir.unimas.my/id/eprint/44852/5/Deep%20learning.pdf; http://ir.unimas.my/id/eprint/44852/; https://iwaponline.com/jh/article/25/5/1667/96790/Deep-learning-model-on-rates-of-change-for-multi

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 sho...