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。
An actual example is taken to illustrate that fitting precision of separated period is 17 ~ 28 times larger than non-separated period and the fitting of separated period has good effect.
作者以实例说明分周期的拟合精度是不分周期拟合精度的17 ~28倍，并且分周期拟合具有较好的拟合效果。
We use it to fitting 1848-2002 sunspot data. The effect is good.
用它拟合1848- 2002年太阳黑子相对数数据，取得很好的效果。
Through many experiments, a kind of recognition algorithm is proposed based on region-growing process and curve fitting, which was verified to have good effect.
通过大量的现场实验，提出了一种有效的基于区域生长和曲线拟合的弯道识别算法，实验验证具有良好的识别效果。
An exponential model is proposed to fit the stress-strain-time curve and obtaining good fitting effect. Parameters of this model are easy to get and can reflect the compressibility and its mechanism.
采用指数模型拟合城市固体垃圾的应力-应变等时曲线，并取得了很好的拟合效果，模型参数简单易求，可反映城市固体垃圾压缩性的大小及其压缩机制。
An exponential model is proposed to fit the stress-strain-time curve and obtaining good fitting effect. Parameters of this model are easy to get and can reflect the compressibility and its mechanism.
采用指数模型拟合城市固体垃圾的应力-应变等时曲线，并取得了很好的拟合效果，模型参数简单易求，可反映城市固体垃圾压缩性的大小及其压缩机制。
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