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。
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。
Trial numerical computation indicates that taking radial basic function as exciting function of a hidden layer brings good sample fitting effect.
经数值计算结果表明，选择径向基函数作为隐层的激励函数，可以得到较好的样本拟合效果。
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