For data processing for measurement, a new method for getting most matched curve based on genetic plan is stated.
针对测量数据问题，提出了一种根据遗传规划来寻求最匹配曲线的新方法。
Conparing with the conventional curve fitting, this method is simpler, the matched curve could be obtained by only giving the data points and the acceptable error.
与传统的曲线拟合方法相比，该方法只需给定数据点及允许误差即可得到匹配的曲线方程。
Similarity of the basic curve figures is queried and measured at some resolution ratio level, in the meantime, the fractal dimension in local similarity is matched.
在某一分辨级水平上进行曲线形状的相似性查询和度量，同时，对于局部相似性的局部维数曲线进行匹配。
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