Modeling water level using downstream river water level observations and machine learning methods

Mikhail Sarafanov; Eduard Kazakov; Yulia Borisova

doi:10.1051/e3sconf/202016301009

All issues

Volume 163 (2020)

E3S Web Conf., 163 (2020) 01009

References

Open Access

Issue		E3S Web Conf. Volume 163, 2020 IV Vinogradov Conference “Hydrology: from Learning to Worldview” in Memory of Outstanding Russian Hydrologist Yury Vinogradov


Article Number		01009
Number of page(s)		6
Section		Mathematical Modeling in Hydrology: Problems, Achievements, Practical Application
DOI		https://doi.org/10.1051/e3sconf/202016301009
Published online		17 April 2020

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[1] A. Romanov, V. Ilyinich, Environmental management, 5, 66-70. (2012) (in Russian) [Google Scholar]

[2] N. Velikanov, V. Naumov, S. Koryagin, Technical and technological problems of service, 3(41), 32-35 (2017) (in Russian) [Google Scholar]

[3] D. Buyanov, R. Fedotov, P. Tkachenko, Scientific and educational problems of civil protection, 2, 112-118 (2015) (in Russian) [Google Scholar]

[4] G. Struchkova, V. Timofeeva, T. Kapitonova, D. Nogovitsyn, K. Kusatov, Bulletin of the Samara Scientific Center of the Russian Academy of Sciences, 18(2), 213-216 (2016) (in Russian) [Google Scholar]

[5] F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, Journal of Machine Learning Research, 12, 2825-2830 (2011) [Google Scholar]

[6] M. Graczyk, T. Lasota, B. Trawinski, K. Trawinski, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5991, 340-350 (2010) [Google Scholar]

[7] U. Grömping, American Statistician, 63(4), 308-319 (2009) [CrossRef] [Google Scholar]

[8] T. Cootes, M. Ionita, C. Lindner, P. Sauer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7578 LNCS(PART 7), 278-291 (2012) [Google Scholar]