| 基于支持向量机的散乱数据拟合 |
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| 引用本文： | 徐洪波,程辉,柳健,田金文.基于支持向量机的散乱数据拟合[J].计算机工程与应用,2005,41(28):84-87. |
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| 作者姓名： | 徐洪波 程辉 柳健 田金文 |
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| 作者单位： | 华中科技大学图像所,武汉,430079;华中科技大学图像所,武汉,430079;华中科技大学图像所,武汉,430079;华中科技大学图像所,武汉,430079 |
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| 摘 要： | 文章提出了一种有效的大规模散乱点拟合方法,它是采用最小均方支持向量机局部拟合对Shepard插值方法进行改进。支持向量机基于结构风险最小化准则,在数据拟合方面具有较好的泛化能力,而改进的Shepard法能有效拟合大规模样本点。实验结果表明该算法对大规模散乱数据点具有较好的拟合性能。
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| 关 键 词： | 散乱数据集 支持向量机 改进 Shepard法 |
| 文章编号： | 1002-8331-（2005）28-0084-04 |
| 收稿时间： | 2004-12 |
| 修稿时间： | 2004-12 |
Large Scattered Data Set Fitting by Support Vector Machine |
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| Xu Hongbo,Cheng Hui,Liu Jian,Tian Jinwen.Large Scattered Data Set Fitting by Support Vector Machine[J].Computer Engineering and Applications,2005,41(28):84-87. |
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| Authors: | Xu Hongbo Cheng Hui Liu Jian Tian Jinwen |
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| Abstract: | An efficient method for fitting large scattered data set is presented.It represents a improvement of the Shepard's method based on the local use of least square support vector machine.Support vector machine is designed to minimize the structural risk,and the generalization performance suits for function approximation.Modified Shepard's method can efficiently interpolate large data set.The proposed algorithm has been implemented and some results confirm its efficiency. |
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| Keywords: | scattered data set support vector machine modified Shepard's method |
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