| 基于RBFNN的专利自动分类研究 |
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| 引用本文： | 马芳.基于RBFNN的专利自动分类研究[J].现代图书情报技术,2011(12):58-63. |
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| 作者姓名： | 马芳 |
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| 作者单位： | 烟台工程职业技术学院图书馆 |
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| 摘 要： | 为减少人工分类的不确定性和分类错误,将文本分类技术引入专利自动分类系统,采用径向基函数神经网络(RBFNN)算法完成专利文本的训练和分类,并进行相关测试分析。实验结果表明,采用RBFNN分类器在专利文本自动分类中具有较理想的性能,测试平均F1值在70%以上。
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| 关 键 词： | 专利自动分类 文本分类 径向基函数神经网络 |
Research of Patent Automatic Classification Based on RBFNN |
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| Ma Fang.Research of Patent Automatic Classification Based on RBFNN[J].New Technology of Library and Information Service,2011(12):58-63. |
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| Authors: | Ma Fang |
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| Institution: | Ma Fang (Library of Yantai Project Occupation and Technology College,Yantai 264006,China) |
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| Abstract: | In order to reduce the poor consistency and the errors in manual patent classification,this article introduces text classification technology into patent auto - classification system.It uses the radial basis function neural network algorithm to realize the automatic classification of patent text,and analyses the test samples.The experiment results show that this new system has a better classification results,and the average F1 value is higher than 70%. |
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| Keywords: | Patent automatic classification Text categorization Radial basis function neural network |
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