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OALib Journal期刊
ISSN: 2333-9721
费用：99美元
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基于数据依赖核支持向量机回归的风速预测模型
Keywords: 风速预测,数据依赖核,支持向量机回归
Abstract:
针对风速随机性大、影响因素多、预测准确度不高的情况,基于支持向量机与信息几何的统计学关联性,从信息几何学角度分析核函数的几何结构,构造数据依赖核函数,并与支持向量机回归相结合,形成数据依赖核支持向量机回归(datadependentkernel-svr,ddk-svr)方法.将该方法用于风速预测中,建立ddk-svr风速预测模型,并将预测结果与传统支持向量机、神经网络方法进行对比.结果表明,ddk-svr方法具有更高的预测精度.
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