| 使用迭代重加权最小二乘法求解平面度误差 |
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| 引用本文： | 薛小强. 使用迭代重加权最小二乘法求解平面度误差[J]. 中国农机化, 2005, 0(3): 62-63 |
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| 作者姓名： | 薛小强 |
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| 作者单位： | 南京工程学院,211100,南京市 |
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| 摘 要： | 提出了几何误差评定的迭代重加权最小二乘（IRLS-Iterative Reweighted Least Squares)算法。该算法采用一个迭代过程求解一系列加权最小二乘问题，并在每一步迭代中按照一定的规则对权系数进行调整，使其逐步逼近最优拉格朗日乘子。对于用CMM(坐标测量机)和其他设备得到的数据，可得到平面度误差的精确值。
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| 关 键 词： | 平面度 几何误差 迭代重加权最小二乘法 最优拉格朗日乘子 |
| 文章编号： | 1006-7205(2005)03-0062-02 |
| 修稿时间： | 2005-02-22 |
Using Iterative Reweighted Least Squares (IRLS) Method for Evaluating Flatness Errors |
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| XUE Xiao-qiang. Using Iterative Reweighted Least Squares (IRLS) Method for Evaluating Flatness Errors[J]. Chinese Agricul Tural Mechanization, 2005, 0(3): 62-63 |
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| Authors: | XUE Xiao-qiang |
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| Abstract: | This paper presents an iterative reweighed least squares (IRLS) method, which is implemented by sequentially solving a set of weighted least squares problem, with the weighting parameters being updated at each iterate. This method could get the precise value of the flatness error form the data of CMM and other equipment. |
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| Keywords: | flatness minimum zone error iterative reweighed least squares (IRLS) |
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