BP神经元网络在Web文本分类中的应用

Web文本分类是Web文本挖掘的一项重要技术,它是一种基于主题分类的指导,能够使用户在快速地找到想要的资源和知识。文本分类过程中,首先采用向量空间模型对Web文本进行特征提取,然后将得到的数据集分成样本数据集和测试数据集,将样本数据集输入BP神经元网络进行分类,网络经过训练后,输入测试数据集进行验证。实验结果证明BP神经元网络在文本分类领域有着较好的实用价值。

The Application of BP neural network in Web Text Classification

Web text classification is an important technology of Web text mining,which is guidance based on theme classification and enable the user to find the resources and knowledge what they want quickly.In text classification process,vector space model was used in Web text feature extraction at first,and then the obtained data was divided into sample data sets and test data sets,at last,the sample data sets were inputted into BP neural network to classify.After training the network,the test data sets were inputte...