【摘要】 对于中文文本分类问题,使用了一种新的RBF神经网络算法.这一方法通过高斯径向基函数,使用k均值推导出隐藏项的中心点及宽度,并将由隐藏层得到的输出结果合并起来,从而得到分类结果.试验证明,这种算法的准确率、召回率、F测量的值都很高,得到的分类效果很好.更多还原

【Abstract】 As to the problem of Chinese text classification,a new method of RBF network is used.Through Gaussian radial basis function,k-means is employed to get the centers and widths of hidden unit.Then outputs of hidden layer are combined.Finally,classification results are obtained.The experiment proves that the precision,recall and F-measure of this method are very high, and classification effect is perfect.更多还原