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1)  fuzzy least absolute
模糊最小一乘
2)  fuzzy least squares
模糊最小二乘
3)  fuzzy least-square method
模糊最小二乘法
4)  Attitude Least-squares Ambiguity
最小二乘模糊度
5)  the better dim selection model of least square
最小二乘模糊优选模型
1.
This paper is based on inspecting by random samples and giving a mark,and as well with quality evaluation by the better dim selection model of least square on the cadastral map,it really can solve the above problem well.
本文选择在抽样检查评分的基础上,运用最小二乘模糊优选模型的数学方法对地籍图进行质量评价,就能够较好地解决上述问题。
6)  Least absolute deviation
最小一乘
1.
A method of target detection in infrared image sequences is proposed based on the least absolute deviation background predication.
本文提出了一种基于最小一乘背景预测的红外小目标检测算法。
2.
The least absolute deviations are using widely used in engineering because of it s robustness,but the algorithm solving the least absolute deviation is not efficient.
最小一乘在稳健性上比最小二乘好,使得最小一乘在工程中得到广泛的应用,但求解最小一乘的算法并不理想;本文根据最小一乘的性质,把最小一乘问题变为组合优化问题。
3.
The least absolute deviation criteria is widely used in engineering because of its robustness, but the algorithms for solving the least absolute deviation estimate of the regression coefficient are too explicated or only efficient for small sample points and variables.
最小一乘准则由于其稳健性较好而在工程中得到广泛的应用,但求解最小一乘回归模型系数的算法往往过于复杂或只能用于样本和变量个数较少的情形。
补充资料:非线性最小二乘拟合
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性质:用最小二乘法拟合非线性方程。有些变量之间的非线性模型,通过变量变换可以化为线性模型,此称为外在线性。而有些变量之间的非线性模型,通过变量变换不能化为线性模型,通称为内在非线性。对于非线性模型y=f(ξ,θ)+ε,其残差平方和。S(θ)是θ的函数,当模型关于θ是非线性的,正规方程关于θ也是非线性的。基于使残差平方和s(θ)达到极小的原理求出θ的估计值,拟合非线性回归方程。

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