The Eutrophication Evaluation of Dongting Lake Based on Support Vector Machine

摘要：

It was built a support vector machine evaluation model to evaluate the eutrophication of Dongting Lake, based on the better generalization ability of support vector machine. For evaluation criterion, it was trained the support vector machine with 50 training sample sets formed by uniform distributed random function and comprehensively evaluated the water eutrophication degree of Dongting Lake. The results show that the water of Dongting Lake is in the medium eutrophication level in the recent ten years; the eutrophication level is highest in the West Dongting Lake, and then is in the South Dongting Lake and lowest in the East Dongting Lake.

关键词： water quality eutrophication evaluation spatiotemporal variation support vector machine chaos optimization Dongting Lake

作者: LI Zheng-zui XIE Yue-bo YI Jian-jun

作者单位: College of Hydrology & Water Resources, Hohai University, Nanjing 210098, China Hydrology & Water Re College of Hydrology & Water Resources, Hohai University, Nanjing 210098, China

会议类型: 国际会议

会议名称: 2009 International Workshop on Information Security and Application(2009 信息安全与应用国际研讨会)

会议地点: 青岛

会议语种:英文

页码: 384-387

在线出版日期: 2009-11-21（万方平台首次上网日期，不代表论文的发表时间）