Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms
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The stochastic gradient boosting machine increases robustness by selecting samples randomly and has previously been employed in studies on river flow trend analysis and prediction.
“This GBM increases robustness by selecting samples randomly, and has previously been employed in studies on Q trend analysis and prediction53,54.”
From Burned forests impact water supplies (2018) · cites this paper as [54]
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Burned forests impact water supplies
Hallema, D. W., Sun, G., Caldwell, P. V., Norman, S. P., Cohen, E. C., Liu, Y., Bladon, K. D., & McNulty, S. G. (2018) · Nature Communications · doi:10.1038/s41467-018-03735-6 · Cited by 193 · see citing works
Rice, J. S., Emanuel, R. E., Vose, J. M., & Nelson, S. A. C. (2015) · Water Resources Research · doi:10.1002/2014wr016367 · Cited by 95 · see citing works
- Authors
- Erdal, H. I., & Karakurt, O.
- Affiliations
- Gazi University (TR)
- Venue
- Journal of Hydrology
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 477
- Pages
- 119-128
- ISSN
- 0022-1694 (ISSN-L)
- OpenAlex
- W2056950965
- Cited by
- 191
- References
- 37
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 20 · 2023: 18 · 2022: 20 · 2021: 25 · 2020: 23 · 2019: 15 · 2018: 13 · 2017: 7 · 2016: 12 · 2015: 9 · 2014: 6 · 2013: 4
- FWCI
- 5.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Hydrology (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Environmental Engineering › Hydrological Forecasting Using AI
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Keywords
- monthly streamflow forecasting, classification and regression trees, ensemble learning, bagging, stochastic gradient boosting, support vector regression, hydrological forecasting, prediction accuracy
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