Development and Assessment of Water-Level Prediction Models for Small Reservoirs Using a Deep Learning Algorithm

In this study, we aimed to develop and assess a hydrological model using a deep learning algorithm for improved water management. Single-output long short-term memory (LSTM SO) and encoder-decoder long short-term memory (LSTM ED) models were developed, and their performances were compared using diff...

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Veröffentlicht in:Water (Basel) 2022-01, Vol.14 (1), p.55
Hauptverfasser: Kusudo, Tsumugu, Yamamoto, Atsushi, Kimura, Masaomi, Matsuno, Yutaka
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Sprache:eng
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