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支持向量机多分类模型的洪水分类
引用本文:汪丽娜,陈晓宏,李粤安,林凯荣,杜建,刘霞.支持向量机多分类模型的洪水分类[J].灌溉排水学报,2009(5).
作者姓名:汪丽娜  陈晓宏  李粤安  林凯荣  杜建  刘霞
作者单位:中山大学水资源与环境研究中心;广东省近岸海洋工程重点实验室;广东省水利厅;
基金项目:国家自然科学基金重点项目(50839005); 国家自然科学基金资助项目(50809078); 国家科技支撑计划课题(2006BAB14B07)
摘    要:尝试使用支持向量机多分类模型在洪水分类中的应用,以长江流域宜昌站为研究对象,采用历史文献中的相关数据,验证了支持向量机的多分类法应用于洪水分类的可行性。由于受数据资料的限制,样本数据选取对测试数据分类结果的影响作了探索性分析,如何优化样本数据的选择有待做进一步的深入研究。

关 键 词:支持向量机  多分类模型  洪水分类

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.Flood Classification Based on Multi-Classification Algorithms of Support Vector Machines[J].Journal of Irrigation and Drainage,2009(5).
Authors:WANG Li-na  CHEN Xiao-hong  LI Yue-an  LIN Kai-rong  DU Jian  LIU Xia
Institution:WANG Li-na1,2,CHEN Xiao-hong1,LI Yue-an3,LIN Kai-rong1,DU Jian1,LIU Xia1,2(1.Center for Water Resources and Environment,Sun Yat-sen University,Guangzhou 510275,China,2.Guangdong Province Key Lab.of Coastal Ocean Engineering,3.Department of Water Resources of Guangdong,Guangzhou 510635,China)
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algorithms of support vector machines in flood classification.According to the correlation data of the historical document,the result confirmed it is feasibility that the support vector machines multi-classifications applied in the flood classification.Because of the limitation of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...
Keywords:support vector machines  multi-classification model  flood classification  
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