基于SVM的南水北调工程向黄河相机补水分析  

Analysis on Opportune Surplus Water Supply to Yellow River by S-N Water Transfer Project Based on SVM Model

作　　者：冉笃奎[1] 李敏[2] 解建仓[1] 

机构地区：[1]西安理工大学西北水资源与环境生态教育部重点实验室,西安710048 [2]西北勘测设计研究院,西安710065

出　　处：《沈阳农业大学学报》2010年第5期594-597,共4页Journal of Shenyang Agricultural University

基　　金：国家自然科学基金项目(40271022;50279041);国家"863"计划研究资助项目(2005AA113150)

摘　　要：为了找出影响南水北调工程向黄河相机补水的主要因素,采用数据挖掘方法SVM模型对比分析了多种因素,模拟结果表明:入库流量、下泄量、清泉沟引水量、陶岔引水量4个因子与黄河补水有较高的相关性,在证明了影响因子分析结论正确的同时,也建立了黄河补水预测模型。该方法的使用有助于分析黄河补水与影响因素的关系,并且对南水北调中线工程也具有一定的参考价值。In order to find out the main factors about the impact of S-N water Transfer Project to supply water of the Yellow River,the SVM model of data mining method was used to compared and analysis a variety of factors.According to the simulated results,four factors,reservoir inflow,discharge volume,Qingquangou water diversion volume and Taocha water diversion volume,were markedly coincident with Yellow River Water-supply.The relationship of Yellow River Water-supply and four influence factors was analyzed expediently by SVM model.The relationship model has great reference value for the S-N Water Transfer Middle Route Project.

关 键 词：南水北调 支持向量机 黄河 相机补水 供水区 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] P341[自动化与计算机技术—控制科学与工程]