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%.
马芳. 基于RBFNN的专利自动分类研究[J]. 现代图书情报技术, 2011, 27(12): 58-63.
Ma Fang. Research of Patent Automatic Classification Based on RBFNN. New Technology of Library and Information Service, 2011, 27(12): 58-63.
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