Flood Classification Based on Multi-Classification Algorithms of Support Vector Machines
WANG Li-na
CHEN Xiao-hong
LI Yue-an
LIN Kai-rong
DU Jian
LIU Xia
Abstract：This paper, which takes the Yichang station of Yangtze valley as the objection, attempted to use multi-classification algorithms of support vector machines in flood classification. According to the correla-tion data of the historical document, the result confirmed it is feasibility that the support vector machines multi-classifications applied in the flood classification. Because of the limitation of the data, the influence, the sampled data selection to classification result of the test data, has made the exploring analysis, how to optimize the choice to the sampled data need further deep research.
Keywords：support vector machinesmulti-classification modelflood classification
Publication Date：2009-01-01
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：3( 38-40 )