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。
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