LSTM Based Hybrid Method for Basin Water Level Prediction by Using Precipitation Data
Author:
Affiliation:
1. Academic Center for Computing and Media Studies, Kyoto University
2. Graduate school of engineering, Kyoto University
Publisher
Japan Society for Simulation Technology
Subject
General Engineering
Link
https://www.jstage.jst.go.jp/article/jasse/8/1/8_40/_pdf
Reference13 articles.
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3. [3] Masayuki Hitokoto and Masaaki Sakuraba: Hybrid deep neural net-work and distributed rainfall-runoff model for the real-time river stage prediction, Proceeding of JSCE., 73:1 (2017), 22-33.
4. [4] Gen Nagatani, Naoya Mizuno, Hiroya Ishida, Kazuya Ozawa and Kaoru Takara: Application of distributed rainfall runoff model to slope failure simulation, Proceeding of JSCE F5., 68:1 (2012), 16-26.
5. [5] Noto Fumikazu, Maruyama Toshisuke, Hayase Yoshio, Takimoto Hiroshi and Nakamuru Kimihito: An evaluation of snow storage depth in the tedori river basin using tank model, Irrigation, Drainage and Rural Engineering Journal., 78:4 (2010), 265-271.
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