Radial basic function is a recent meshless interpolation technique. It has a very simply form and no correlation with the space dimensions.

径向基函数插值是一种新型的无网格插值方法，具有形式简单、空间维数无关等优点。

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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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Then, experiments with the radial basic function and the polynomial kernel function are used to reveal the relationship between kernel functions and the filter algorithm.

接着分别针对径向基核函数和多项式核函数进行多次实验，分析这两种核函数对过滤算法的影响。

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Then, experiments with the radial basic function and the polynomial kernel function are used to reveal the relationship between kernel functions and the filter algorithm.

接着分别针对径向基核函数和多项式核函数进行多次实验，分析这两种核函数对过滤算法的影响。

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