一种基于模糊分类网络的信息分类方法
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TP391.1

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中国博士后科学基金


A Kind of Information Classification Method Based on Fuzzy Classification Networks
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China Postdoctoral Science Foundation

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    摘要:

    针对信息搜索与挖掘中存在的关键词多义性及用户对所要查询信息的分类存在一定的模糊性问题,提出了一种基于模糊分类网络的信息挖掘方法。该方法利用模糊分类网络固有的对模糊信息的非线性处理能力和自适应学习机制,通过对WEB页面大量分类文档信息的学习,建立了基于模糊分类网络的信息分类器和挖掘模型。构造的信息分类模型结构简单、学习收敛速度快且易于实现。文中给出了分类策略和实现算法,并以中国石油网油气管道专题信息分类为例验证了方法的有效性。

    Abstract:

    According to the problems that there exist keywords ambiguity in information searching and mining and the classification of quering information has a certain ambiguity, a kind of information mining method based on fuzzy classification networks is proposed in this paper. This method uses the fuzzy classification network’s intrinsic non-linear processing ability and self-adaptation learning mechanism for fuzzy information, the information Classifier and mining model based on fuzzy classification network is built by learning many classification document information from WEB pages, the structure of information classification model constructed is simple, learning convergence speed is rapid and easily implemented. The classification strategy and implementing algorithm is given in this paper, and the method’s validity is proved by the subject information classification of China oil and gas pipeline.

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引用本文

潘俊辉. 一种基于模糊分类网络的信息分类方法[J]. 科学技术与工程, 2011, (20): .
Pan Jun-Hui. A Kind of Information Classification Method Based on Fuzzy Classification Networks[J]. Science Technology and Engineering,2011,(20).

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历史
  • 收稿日期:2011-04-04
  • 最后修改日期:2011-04-15
  • 录用日期:2011-04-15
  • 在线发布日期: 2011-05-27
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