基于ART神经网络的中文文档分类识别方法研究

为了提高信息查询的效率,本文将自适应谐振神经网络引入中文文档搜索分类之中。在讨论自适应谐振神经网络基本原理的基础上,提出一种新的中文文档的层次聚类算法,从而提高中文文档的分类识别效率。

In order to improve the efficiency of information retrieval, this article introduces the Adaptive Resonance Theory （ART） into the searching and classification of Chinese documents. Based on a discussion on the basic principle of ART, the article puts forward a new hierarchical clustering algorithm for Chinese documents so as to raise its efficiency of classified recognition.