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对两种在我校曾用过的中文自动分类方法进行了介绍．在对这二种自动分类方法的改进基础上，提出了一种全新的基于神经网络的自动分类优化算法．这种方法运用人工神经网络理论，并结合专家的职业经验，模仿手工分类的思维过程，对过去已研制成的两个系统进行了改进和优化．这种方法的设计思想、体系结构、理论性优化在这里进行了重点介绍．
The two Chinese automatic classification methods used in our school are introduced. Based on the improvement of these two automatic classification methods, a new automatic classification optimization algorithm based on neural network is proposed. This method uses artificial neural network theory, combined with the professional experience of experts, to imitate the manual classification of thinking process, the past two systems have been developed to improve and optimize. This method of design thinking, architecture, theoretical optimization are highlighted here.