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张礼平, 陈正洪, 成驰, 王晓莉. 2010: 支持向量机在太阳辐射预报中的应用. 暴雨灾害, 29(4): 40-61.
引用本文: 张礼平, 陈正洪, 成驰, 王晓莉. 2010: 支持向量机在太阳辐射预报中的应用. 暴雨灾害, 29(4): 40-61.
ZHANG Li-ping, CHENG Zheng-hong, Cheng Chi, WANG Xiao-li. 2010: Applications of Support Vector Machines in the Solar Radiation Forecasting. Torrential Rain and Disasters, 29(4): 40-61.
Citation: ZHANG Li-ping, CHENG Zheng-hong, Cheng Chi, WANG Xiao-li. 2010: Applications of Support Vector Machines in the Solar Radiation Forecasting. Torrential Rain and Disasters, 29(4): 40-61.

支持向量机在太阳辐射预报中的应用

Applications of Support Vector Machines in the Solar Radiation Forecasting

  • 摘要: 利用EOF能分解数据场和SVM回归分析可建立因子与预报量非线性关系的优势,设计预报方案:(1)将多因子和多预报量分别方差标准化,EOF场展开,提取主分量;(2)用SVM回归分析实现多因子主分量对多预报量主分量非线性预测;(3)由预报的多预

     

    Abstract: With the superiority of both of EOF(Empirical orthogonal functions) separating fields and nonlinear SVM regression forecasting,a program is projected considering the following:(1) Both of factors and predictors a

     

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