| 基于遗传算法的SVM冰凌预报模型研究 |
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| 引用本文： | 周翔南,王富强,蔺冬.基于遗传算法的SVM冰凌预报模型研究[J].华北水利水电学院学报,2012(1):19-22. |
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| 作者姓名： | 周翔南 王富强 蔺冬 |
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| 作者单位： | 华北水利水电学院 |
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| 基金项目： | 国家自然科学基金项目(51009065);河南省重点科技攻关计划项目(112102110033,092102110032);河南省教育厅自然科学研究计划项目(2011B170006) |
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| 摘 要： | 针对传统支持向量回归参数大多采用经验率定的情况,提出了一种基于遗传算法优化支持向量回归参数的冰凌预报模型.运用MATLAB软件进行建模,并将其应用于黄河宁蒙段三湖河口封、开河日期的预报.结果表明,经过优化的支持向量回归模型泛化能力强,预报效果优于传统支持向量回归模型.
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| 关 键 词： | 遗传算法 支持向量机 凌汛预报 封河日期 宁蒙段 |
Research of SVM Ice Forecast Model Based on Genetic Algorithm |
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| ZHOU Xiang-nan,WANG Fu-qiang,LIN Dong.Research of SVM Ice Forecast Model Based on Genetic Algorithm[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2012(1):19-22. |
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| Authors: | ZHOU Xiang-nan WANG Fu-qiang LIN Dong |
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| Affiliation: | (North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China) |
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| Abstract: | For the situations of regression parameters of traditional support vector calibrated by experience,a new ice forecast model in which the support vector regression parameters are optimized on the basis of the genetic algorithm is proposed.The model is built by MATLAB software,and is applied to the prediction of the freeze-up and break-up date of Sanhu estuarine station in Ningxia-Inner Mongolia section of the Yellow River.The Results show that the generalization ability of optimized support vector regression model is strong,and forecast results are better than that of traditional support vector regression model. |
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| Keywords: | genetic algorithm Support Vector Machine(SVM) ice flood forecast freeze-up date Ningxia-Inner Mongolia section of the Yellow River |
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