计算机与数字工程2019，Vol.47Issue(7)：1743-1747,5.DOI:10.3969/j.issn.1672-9722.2019.07.036
基于机器学习的专利质量评估研究
Estimation of Patent Quality Based on Machine Learning
摘要
Abstract
Patent contains rich metric information which is related to patent quality. In this study,the information of patent is used to estimate its quality based on three machine learning models. The models include logistic regression,support vector machine and neural network. More than 6,000 patent families in 3D printing field have been evaluated by these three methods. This study shows that neural network achieves the best result,and the logistic regression can be used in precision and recall control to meet the needs of specific applications.关键词
机器学习/专利质量/逻辑回归/支撑向量机/神经网络Key words
machine learning/patent quality/logistic regression/support vector/machine neural network分类
信息技术与安全科学引用本文复制引用
杨美妮,沈静,张建军..基于机器学习的专利质量评估研究[J].计算机与数字工程,2019,47(7):1743-1747,5.基金项目
国家自然科学基金项目(编号:61402516) （编号:61402516）
海军工程大学自主立项项目(编号:2016108)资助. （编号:2016108）
