The radial basis function network (RBFN) has good extensible and classified (ability).

径向基函数网络具有良好的推广能力和分类能力。

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Due to the localized nature, RBFN can be trained quickly and can avoid falling into local minima.

由于其局部性质，RBFN能被快速训练，避免陷入局部最小。

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The classification mechanism of a radial basis function network (RBFN) is investigated in this paper.

本文研究了径向基函数网络(RBFN)的分类机理问题。

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