We present a method of circular arc fragmented curve-fitting based on least mean-square error rule in this paper.
提出了一种基于最小均方误差准则的圆弧分段曲线拟合方法。
Fitting a curve for an experimental energy spectrum of plasma particles with the least square method, a square error sum between the fitted curve and experimental spectrum data is usually minimized.
用最小二乘法拟合等离子体粒子能谱实验数据时，通常使拟合函数与实验能谱数据之间的误差平方和极小化。
Firstly, the error of fit must be defined for nonlinear least-square fitting of generalized geometry model. Then the nonlinear optimization algorithm can be used to obtain the optimum solution.
对于一般几何模型的非线性最小均方误差拟合，首先必须定义拟合误差，然后采用非线性最优化方法求解最小误差意义下的最优解。
The error sources and their influences to the measurement results are also discussed. It has been shown, that the satisfied results can be achieved by using least square fitting method.
计算结果表明，用分段多项式最小二乘法拟合计算M F D，可以取得满意的计算精度。
The error sources and their influences to the measurement results are also discussed. It has been shown, that the satisfied results can be achieved by using least square fitting method.
计算结果表明，用分段多项式最小二乘法拟合计算M F D，可以取得满意的计算精度。
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