| 最小二乘支持向量机对数据点的B样条拟合 |
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| 引用本文： | 张聚梅,李春霞,刘春房.最小二乘支持向量机对数据点的B样条拟合[J].滨州学院学报,2008,24(3). |
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| 作者姓名： | 张聚梅 李春霞 刘春房 |
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| 作者单位： | 滨州学院,数学与信息科学系,山东,滨州,256603 |
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| 摘 要： | 讨论了基于"结构风险"意义下用最小二乘支持向量回归机构造B样条曲面的逼近问题,其出发点是最小化结构风险,在理论上保证了较好的推广能力,能够实现对原始曲面的逼近;建立了B样条曲面拟合的数学模型,构造了一种特殊的核函数来保证曲面的B样条表示形式.
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| 关 键 词： | 拟合 B样条曲线 控制顶点 |
Least Squares Support Vector Machines of Fitting B-spline Surface |
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| ZHANG Ju-mei,LI Chun-xia,LIU Chun-fang.Least Squares Support Vector Machines of Fitting B-spline Surface[J].Journal of Binzhou University,2008,24(3). |
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| Authors: | ZHANG Ju-mei LI Chun-xia LIU Chun-fang |
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| Abstract: | This paper presents a least squares support vector machines approach to solve the problem of fitting B-spline surface,which operates on the principle of structure risk minimization instead of the empirical risk minimization.Hence a better generalization ability is guaranteed.A mathematical model is established,and a new kernel function is used to obtain the curves by B-spline form. |
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| Keywords: | fitting B-spline control points |
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