文章基本信息

标题：Use of classification algorithms for the ice jams forecasting problem
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作者：Natalia Semenova ; Alexey Sazonov ; Inna Krylenko 等
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.