LSF:最小二乘拟合
“最小二乘拟合”(Least Square Fitting)常缩写为LSF,这种简写形式便于快速书写和日常使用。该方法在数据分析、工程建模等多个综合领域中应用广泛,尤其适用于未明确分类的各类拟合问题。其核心思想是通过最小化误差平方和,寻找数据的最佳函数匹配。
Least Square Fitting具体释义
Least Square Fitting的英文发音
例句
- The data for the measurement can use direct least square fitting to solve the curvature of the workpiece.
- 对于测量的数据采用直接最小二乘拟合(LSF),从而可以解算出工件的曲率。
- The influence factors on precision of chart datum values from the least square fitting model were discussed.
- 基于最小二乘潮位拟合传递法的数学模型,对短期验潮站海图深度基准面确定方法进行了研究。
- By the least square fitting, the regression equation of the original data can be obtained, with which a large number of simulation data can be generated as training target vectors.
- 以非线性最小二乘法对原始失效数据进行拟合并得到回归方程,利用回归方程生成大量的仿真数据作为训练目标向量;
- The genetic algorithm is usually selected as an optimization tool for the least square fitting about ordered plane data by B-spline curves.
- 在B样条曲线的最小二乘拟合(LSF)平面有序数据问题中,经常采用遗传算法进行优化。
- Furthermore, the undetermined coefficients in the laser pointing model were obtained by least square fitting.
- 通过线性叠加得出激光发射系统指向误差的修正模型。
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