| 支持向量机在水文气象中的应用 |
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| 引用本文： | 徐元顺,刘志勇,李晓兰,陈建州.支持向量机在水文气象中的应用[J].湖北水力发电,2008(5). |
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| 作者姓名： | 徐元顺 刘志勇 李晓兰 陈建州 |
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| 作者单位： | 汉江集团公司信息中心 湖北省丹江口市气象局 |
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| 摘 要： | 根据1951～2004年丹江口水库流域流量资料及国家气候中心的74项大气环流与海温资料等,利用支持向量机并采用遥相关挑选因子与预报对象一一相对应的距平拟合率,建立了丹江口水库流域不同季节的流量预测模型。小样本量交叉验证和实例预报的结果表明:预测模型是具有良好的稳定性,运算速度比传统的预报方法大大加快。
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| 关 键 词： | 支持向量机(SVM) 水文气象 预测 |
Application of support vector machine to hydrometeorology |
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| XU Yuanshun,LIU Zhiyong,LI Xiaolan,CHEN Jianzhou.Application of support vector machine to hydrometeorology[J].Hubei Water Power,2008(5). |
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| Authors: | XU Yuanshun LIU Zhiyong LI Xiaolan CHEN Jianzhou |
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| Affiliation: | 1.Information Center of Hanjiang Group Corp.;Danjiangkou 442700;China;2.Hubei Danjiangkou Meteorological Bureau;China |
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| Abstract: | Based on the 1951-2004 run-off records of Danjiang waterbasin,74 kinds atmospheric circulation and seawater temperature records quoted from State Climate Center,adopting the anomaly fitting rate of distant correlative choice factors corresponding to the forecast objectives one by one,the run-off forecast models of Danjiang waterbasin in different seasons are set up with the support vector machine;the cross verification by few samples with practical run-off records shows that,these models have fine computati... |
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| Keywords: | support vector machine（SVM） hydrometeorology forecast |
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