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least square approximation meaning in Chinese

最小二乘方逼近
最小平方近似值
最玄乘逼近法

Examples

  1. Least square approximation
    最小二乘逼近
  2. The advantages of efgm are : only nodal data are necessary , high accuracy can be achieved and preprocess and postprocess is easy , etc . the mathematical basis of efgm is the moving least squares approximation
    该法只需节点信息,不需将节点连成单元。此外,还有精度高、前后处理方便等优点。移动最小二乘法是无单元迦辽金方法的数学基础。
  3. At the end of chapter one , the strategy of the control device for ferment process has been presented . 2 . the mathematical methods for soft - measuring models are shown in the thesis , including linear tools as kalman filter , least square approximation , and the nonlinear tools as wavelet networks
    2 )介绍了软测量建模的基本数学工具? ?卡尔曼滤波器、最小二乘方法和小波神经网络,重点介绍了小波神经网络,对小波神经网络在系统辨识中的优势和缺点作了阐述。
  4. Based on the analysis of previous work in detail , a scheme of a - posteriori error estimation is introduced into the local boundary integral equation method ( lbiem ) , which is constructed with the difference between the raw solutions of lbiem and the post - processing solutions with taylor expansion and moving least square approximation ( mlsa )
    通过对无网格算法在误差估计方面的工作分析,根据原始解和后处理解的不同,将一种误差佑计的方案引入到局部边界积分方程方法中,其中后处理解采用泰勒展开和移动最小二乘近似得到。
  5. For h - d scattered data , local weighted least - squares fitting ( llsf ) methods for approximation and interpolation are respectively put forward and the latter is got by adjusting weight function in the former case , and the interpolating method is also used to construct hyper - surface models with the radial function . the problem of choosing weight function during local least square approximation is discussed and two good weight functions are given : one with a parameter , the other with no parameter . based on them
    二、对非规则区域上分布的h - d数据,提出了散乱数据超曲面拟合的局部最小二乘逼近法。通过对局部最小二乘逼近的权因子作适当的改进,得到了拟合精度较高的局部最小二乘插值法,还用径向基函数构造了超曲面模型,找到了一种性质好带参数的权函数以及另一种有着普遍精度性质的不含参数的权函数,获得了较好的逼近效果。

Related Words

  1. leaster
  2. approximation algorithm
  3. least motion
  4. least radius
  5. least square
  6. least treefrog
  7. least depth
  8. least pauraque
  9. least payment
  10. least fixpoint
  11. least square adjustment method
  12. least square analysis
  13. least square curve fitting
  14. least square data fitting
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