基于BP神经网络的文本自动分类系统设计

Design of Automatic Text Classification System Based on BP Neural Network

在广泛研究现有文本自动分类方法的基础上,发现人工神经网络具有很强的自学习性、自组织性、联想记忆功能和推理意识等,在文本自动分类上有着独特的优势。为此,设计一个基于神经网络的文本自动分类系统。该系统采用模块化的设计,关键算法和功能均封装在模块中,使系统具有良好的扩展性。

Based on the widespread research on text automatic sorting methods existing, discovers that the Keywords artificial neural networks have strong study independently habitual, from organized, the associative memory function and inference consciousness and so on, has the unique superiority in the text automatic sorting. Therefore, designs a text automatic sorting system based on the neural network. This system uses modular design, and encapsulates the key algorithms and functions in the module, makes the system has good scalability.