CREATION AND VERIFICATION OF A PRETRAINED MODEL FOR RIVER FLOOD PREDICTIONS
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- KIMURA Nobuaki
- 農研機構 農村工学研究部門
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- MINAKAWA Hiroki
- 農研機構 農村工学研究部門
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- FUKUSHIGE Yudai
- 農研機構 農村工学研究部門
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- BABA Daichi
- (株)アーク情報システム アドバンストテクノロジー部
Bibliographic Information
- Other Title
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- 河川洪水予測用の事前学習モデルの構築と検証
Abstract
<p> This study demonstrates that two-type pretrained models built with artificial neural network (ANN) for reasonable predictions of unprecedented floods in major rivers in Kyushu region, Japan that has similar hydrological features using a small amount of flood datasets. One pretrained model, created by the flood datasets observed in dam-affected rivers, provided better predictions than those of the convention ANN for short lead times and small amounts of the flood datasets. Another pretrained model was created by all flood datasets, available in the major rivers and even no-dam rivers. The difference between the pretrained models shows that the latter model performed better predictions than the former model doing only in the limited condition such as longer lead time and relatively large amount of the datasets.</p>
Journal
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- Japanese Journal of JSCE
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Japanese Journal of JSCE 80 (16), n/a-, 2024
Japan Society of Civil Engineers
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Details 詳細情報について
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- CRID
- 1390580793828423296
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- ISSN
- 24366021
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed