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With the rapid development of Internet, there is affluent information on World Wide Web (WWW). How can the online user find the information that is useful to him from the tremendous Web pages? It is urgent to solve this problem and the key of solving this problem is to classify the Web pages correctly. In this paper, we design a Web classification mining system to meet the personal needs and propose a means that uses RBFNN to classify the text information in Web pages. Experiments verify that we use RBF network to classify Web pages is more efficient than BP algorithm, what's more, it can promote the correct rate of classification.