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  • 标题:Use of classification algorithms for the ice jams forecasting problem
  • 本地全文:下载
  • 作者:Natalia Semenova ; Alexey Sazonov ; Inna Krylenko
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:163
  • 页码:1-5
  • DOI:10.1051/e3sconf/202016302008
  • 出版社:EDP Sciences
  • 摘要:In the research the prediction of occurrence of ice jam based on the K Nearest Neighbor method was considered by example of the city of Velikiy Ustyug, located at the confluence of the Sukhona and Yug Rivers. A forecast accuracy of 82% was achieved based on selected most significant hydrological and meteorological features.
  • 其他摘要:In the research the prediction of occurrence of ice jam based on the K Nearest Neighbor method was considered by example of the city of Velikiy Ustyug, located at the confluence of the Sukhona and Yug Rivers. A forecast accuracy of 82% was achieved based on selected most significant hydrological and meteorological features.
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