Research on Patent Document Classification Based on Deep Learning

被引:0
作者
Xia, Bing [1 ]
Li, Baoan [1 ]
Lv, Xueqiang [1 ]
机构
[1] Beijing Informat Sci & Technol Univ, Beijing Key Lab Internet Culture & Digital Dissem, Beijing 100101, Peoples R China
来源
PROCEEDINGS OF THE 2016 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2016) | 2016年 / 133卷
关键词
deep learning; patent document classification; sparse automatic encoder; deep belief network; softmax;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Science and technology can be called the first productive force of development, and the patent as an important source of science and technology innovation is getting more and more attention. With the increase in the number of patent applications, followed is patent document classification problem. At present, the patent document classification include artificial method and automatic method, but mostly using the artificial method, which resulted in the classification process is time consuming and not efficient, so the research of patent document classification has the practical significance. In this paper, based on the premise of deep learning, the patent document classification problem is studied.
引用
收藏
页码:308 / 311
页数:4
相关论文
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