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rbf_atrifical_neual_networks

于 2010-04-22 发布 文件大小:2KB
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说明:  ① 样本数据从MATLAB命令窗口或新建一M文件作为数据输入文件,样本输入变量名为samin,样本输出变量名samout 样本个数和每个样本的维数可任意,样本输出的个数与样本个数应一致,即保证每个样本都对应一个期望输出,但每个输出的维数不要求与输入的维数相同,可任意; ② 聚类中心的个数(即基函数的个数)可根据实际情况调整;同样可调整参数的还有重叠系数、聚类中心最大更新次数、聚类中心更新终止误差; ③ 训练结束后进行测试时,要求输入的测试数据与样本具有相同的维数,测试数据的个数可任意; ④ 如果训练样本是二维的,则数据中心聚类的结果可用一平面图显示出来;同样测试数据的输出是一维的话也可显示出来; (RBF artifical neual networks)

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rbf_atrifical_neual_networks.txt

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