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提出了一种新的确定径向基函数中心的方法。
A new method that determines radial basis function centers is proposed.
径向基函数网络的性能在很大程度上取决于径基函数中心位置的选取。
Performance of radial basis function network highly depends on the locations of radial basis function centers.
讨论了径向基函数中心的选取，构造了改进的RBF网络对训练样本和测试样本进行识别。
The choice of the center of radial basis function, constructing an improved RBF network and its application to recognize the trained samples and test samples were discussed.
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