首页 | 本学科首页   官方微博 | 高级检索  
     

基于决策树算法的洪水预报模型
引用本文:丁胜祥,董增川,张莉. 基于决策树算法的洪水预报模型[J]. 水力发电, 2011, 37(7): 8-11,33
作者姓名:丁胜祥  董增川  张莉
作者单位:1. 长江水利委员会水文局,湖北武汉,430010
2. 河海大学水文水资源与水利工程科学国家重点实验室,江苏南京,210098
摘    要:结合现有决策树技术的研究结果,在已有决策树方法的基础上,从积累的大量数据资料和信息反馈形成的水文相关数据库出发,基于决策树C4.5算法设计合理的计算流程来建立了洪水预报模型,并以预报太湖水位为例进行了实例研究.结果表明,基于决策树的洪水预报模型结构清晰,最终生成的预报规则简单明了,模型在率定期与检验期内均具有很高的精度...

关 键 词:数据挖掘  决策树  洪水预报  水位  太湖

Flood Forecasting Model Based on Decision Tree Algorithm
Ding Shengxiang,Dong Zengchuan,Zhang Li. Flood Forecasting Model Based on Decision Tree Algorithm[J]. Water Power, 2011, 37(7): 8-11,33
Authors:Ding Shengxiang  Dong Zengchuan  Zhang Li
Affiliation:Ding Shengxiang1,Dong Zengchuan2,Zhang Li1(1.Bureau of Hydrology,Changjiang Water Resources Commission,Wuhan 430010,Hubei,China,2.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Nanjing 210098,Jiangsu,China)
Abstract:By using the historical database which contains large amount of hydrological data and feedback information,a flood forecasting model is designed and established based on decision tree C4.5 algorithm and existing researches.The water level of Taihu Lake is forecasted with the model as a case study.The result shows the model has a clear structure and simple prediction rule,and also has a high accuracy in both calibration and validation periods.As a result of data mining,the decision tree used for forecasting ...
Keywords:data mining  decision tree  flood forecast  water level  Taihu Lake  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号