【摘要】 Web文本分类是采用文本分类技术将Web上的信息进行自动分类,使用户能够快速找到自己想要的资源。文本分类的过程中,将特征提取之后的来自Web的数据分成样本数据集和测试数据集,将样本数据集输入到RBF网络中进行训练,RBF网络经过训练之后,输入测试数据集中的数据进行验证,实验证明,RBF网络取得了较好的分类结果。更多还原

【Abstract】 Web text classification is the automatic classification for Web information and it makes the use of text classification technology.The technology makes user find resource that they want quickly.The data from the Web is divided into sample data set and test data set after feature extraction in the process of text classification.Sample data set is inputted to the RBF network and the RBF network is trained.Test data set is inputted the RBF to validate after training the network.Experimental results show that RBF network achieved better classification results.更多还原