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Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling
Date
2024-05-01
Author
Ishida, Kei
Ercan, Ali
Nagasato, Takeyoshi
Kiyama, Masato
Amagasaki, Motoki
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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URI
https://hdl.handle.net/11511/109654
Journal
JOURNAL OF ENVIRONMENTAL MANAGEMENT
DOI
https://doi.org/10.1016/j.jenvman.2024.120931
Collections
Department of Civil Engineering, Article
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BibTeX
K. Ishida, A. Ercan, T. Nagasato, M. Kiyama, and M. Amagasaki, “Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling,”
JOURNAL OF ENVIRONMENTAL MANAGEMENT
, vol. 359, pp. 1–13, 2024, Accessed: 00, 2024. [Online]. Available: https://hdl.handle.net/11511/109654.
