一个简单的最小二乘法的例子就是Polynomial Curve Fitting(多项式曲线拟合)，就是用多项式来拟合一条曲线。转化成数学语言就是：我们有一条需要拟合的曲线
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Universal polynomial curve fitting 一般多项式拟合
orthogonal polynomial curve-fitting 正交多项式拟合
polynomial curve fitting method 多项式曲线拟合法
least square curve fitting polynomial 最小二乘多项式
Polynomial regression curve fitting 多项式曲线拟合法
polynomial fitting curve 多项式拟合曲线
The proposed method can give more reasonable and more promising prediction results as compared with polynomial curve fitting technique.
此外，与多项式曲线拟合法的对比分析表明，该方法优于传统的多项式曲线拟合法，具有更好的预测效果。
Polynomial curve fitting is a usually used data fitting method. When there are too many data for fitting, only just one polynomial curve function cannot acquire good fitting effect.
多项式曲线拟合是一种较常用的数据处理方法，但当数据点较多时，只采用一种多项式曲线函数拟合所有数据点难以取得较好的拟合效果。
The algorithm is polynomial curve fitting based on least square approximation. The experimental result shows its performance is more effect than that of the piecewise linear algorithm.
该算法是在最小二乘意义上的多项式曲线拟合，实验结果表明，其校正效果明显优于分段线性校正算法。
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