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提出了一个构造径向基函数神经网格分类器的有效方法 ,利用快速聚类和统计的方法确定网络中间层及中间层到输出层间的权值。把构造的分类器用于手写体数字的分类实验 ,取得了比较好的结果。
An effective method of constructing radial basis function neural network classifier is proposed. The method of fast clustering and statistics is used to determine the weights of the middle layer and the middle layer of the network to the output layer. The constructed classifier is used to classify handwritten digits, and the better result is obtained.