为迅速准确地在Ｉｎｔｅｒｎｅｔ中获取所需信息，且不致于迷航，通过对Ｉｎｔｅｒｎｅｔ导航的分析，在采用分级结构方法和簇分析相结合的基础上，提出了一种形成单层神经网络形式的概念空间，利用Ｈｏｐｆｉｅｌｄ 神经网络算法的联想功能，通过跟踪用户的浏览行为，对用户浏览进行导航．实验证明，这种导航方法能够大大提高用户的浏览效率． In order to obtain the required information quickly and accurately in the Internet, and not be lost in the air, based on the analysis of Internet navigation, a concept of forming a single neural network is proposed based on the combination of hierarchical structure and cluster analysis Space, the use of Hopfield neural network algorithm association function, by tracking the user’s browsing behavior, navigate the user navigation. Experiments show that this navigation method can greatly improve the user’s browsing efficiency.