摘要
神经网络具有很强的非线性拟合能力,可映射众多复杂的非线性关系,同时学习规则也比较简单,并具有强大的自学习能力。文中将基于神经网络BP算法应用到文本分类中,并取得了不错的分类效果。
The neural network has a strong ability of nonlinear fitting. It could map numerous and complex nonlinear relations,but at the same time the learning rule is simple and has powerful ability of self learning. In this paper,the BP algorithm is used in text classification based on the neural network,which has resulted in good classification.
出处
《湖北第二师范学院学报》
2015年第2期28-30,共3页
Journal of Hubei University of Education
基金
武汉市市属高教教学研究重点项目(2013040)
湖北省职教学会科学研究重点课题(ZJGA201411)
关键词
神经网络
BP算法
文本分类
neural network
BP algorithm
text classification
