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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 sho...

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書誌詳細
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
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