欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
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。
英文摘要：
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 According to the correlation data of the historical document, the result confirmed it is feasibility that the support vector machines multi-classifications applied in the flood classification.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 analysis, how to optimize the choice to the sampled data need further deep research.
关于林凯荣：
关于陈晓宏：
同期刊论文项目
同项目期刊论文
Spatio-temporal patterns of hydrological processes and their responses to human activities in the Po
Impacts of climate change and human activities on surface runoff in the Dongjiang River basin of Chi
Changing properties of hydrological extremes in south China: natural variations or human influences?
Multiscale streamflow variations of the Pearl River basin and possible implications for the water De
Precipitation variability (1956~2002) in the Dongjiang River (Zhujiang River basin, China) and assoc
Statistical behaviours of precipitation regimes in China and their links with atmospheric circulatio
Estimation of evapotranspiration using remotely sensed land surface temperature and the revised thre
The Influence of dam and lakes on the Yangtze River streamflow: Long-range correlation and complexit
位置：