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Research of Patent Automatic Classification Based on RBFNN |
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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Received: 13 September 2011
Published: 02 February 2012
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