针对信息挖掘中的网页自动分类问题,提出了一种基于向量空间模型和过程神经元网络的分类方法。网络由输入层、隐层和输出层组成。输入层完成分类样本的输入,隐层提取输入样本所隐含的模式特征,将分类结果在输出层表现出来。以因特网上旅游网页分类为例验证了该方法的有效性。 Aimed at the problem of automatic classification of web pages in information mining, a classification method based on vector space model and process neural network is proposed. The network consists of input layer, hidden layer and output layer. The input layer finishes inputting the classified samples, the hidden layer extracts the pattern features implied by the input samples, and the classification results are displayed on the output layer. The classification of travel pages on the Internet as an example verifies the effectiveness of this method.