The level set method was adopted to describing the structural topology and its change, and the compactly supported radial basis function was introduced to getting the parametric level set method.

采用水平集方法描述结构的拓扑及其变化，使用紧支径向基函数对计算区域的水平集进行插值以得到参数化的水平集方法。

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Due to its structural simplicity, the radial basis function (RBF) neural network has been widely used for approximation and classification.

径向基函数(RBF)神经网络因其结构简单而被广泛地用于非线性函数近似和数据分类。

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