摘要
给出一种基于多层前馈神经网络的中文文本分类模型,介绍了该模型的设计和实现。对于文本分类的核心训练算法,给出主要步骤的推导过程;最后给出了神经网络模型分类性能的测试结果。
This paper presents a text categorization model based on multilayered feedforward neutral network, and introduces the design and implementation of this model. The main deducing steps are presented in the core-training algorithm of text categorization. Finally, testing results of this model's sorting performance are presented.
出处
《计算机应用研究》
CSCD
北大核心
2005年第10期213-216,共4页
Application Research of Computers
基金
国家"863"计划资助项目(2001AA135080)
关键词
文本分类
人工神经网络
训练算法
Text Categorization
Artificial Neural Network
Training Algorithms