Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, Korea

Research article (Stochastic Environmental Research and Risk Assessment, 2021) · cited 14× · AI/ML
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Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, Korea

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Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, Korea is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, Korea. Retrieved May 24, 2026, from https://4ort.xyz/entity/is-the-deep-learning-technique-a-completely-alternative-for-the-hydrological-model-a-case-study-on-hyeongsan-river-basin
MLA “Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, Korea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/is-the-deep-learning-technique-a-completely-alternative-for-the-hydrological-model-a-case-study-on-hyeongsan-river-basin.
BibTeX @misc{4ortxyz_is-the-deep-learning-technique-a-completely-alternative-for-the-hydrological-model-a-case-study-on-hyeongsan-river-basin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Is the deep-learning technique a completely alternative for the hydrological model?: A case study on Hyeongsan River Basin, Korea}}, year = {2026}, url = {https://4ort.xyz/entity/is-the-deep-learning-technique-a-completely-alternative-for-the-hydrological-model-a-case-study-on-hyeongsan-river-basin}, note = {Accessed: 2026-05-24}}
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