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

  • 英文缩写:LSF
  • 英语全称:Least Square Fitting
  • 中文意思:最小二乘拟合
  • 中文拼音:zuì xiǎo èr chéng nǐ hé
  • 相关领域lsf 未分类的

Least Square Fitting的英文发音

例句

  1. The data for the measurement can use direct least square fitting to solve the curvature of the workpiece.
  2. 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。
  3. The influence factors on precision of chart datum values from the least square fitting model were discussed.
  4. 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。
  5. 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.
  6. 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;
  7. The genetic algorithm is usually selected as an optimization tool for the least square fitting about ordered plane data by B-spline curves.
  8. 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。
  9. Furthermore, the undetermined coefficients in the laser pointing model were obtained by least square fitting.
  10. 通过线性叠加得出激光发射系统指向误差的修正模型。