| BP神经网络在网页自动分类中的应用 |
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| 引用本文： | 朱秀华.BP神经网络在网页自动分类中的应用[J].现代情报,2009,29(5):163-165. |
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| 作者姓名： | 朱秀华 |
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| 作者单位： | 大庆石油学院继续教育学院, 黑龙江 大庆 163318 |
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| 摘 要： | 针对信息挖掘中的网页自动分类问题,提出了一种基于向量空间模型和并联BP网络的分类方法。该网络由并行连接的多个子网络组成,每个子网络负责一类模式特征的提取,多个子网并行处理所有模式,将分类结果在总输出层表现出来。以因特网上旅游网页分类为例验证了该方法的有效性。
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| 关 键 词： | 数据挖掘 网页分类 神经网络 学习算法 |
BP Neural Network and Its Application in Web Document Automatic Classification |
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| Authors: | Zhu Xiuhua |
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| Institution: | School of Further Education,Daqing Petroleum Institute,Daqing 163318,China |
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| Abstract: | Aiming to web document classification in data mining, a classification method is presented in this paper. The method is based on vector space model and parallel connection BP neural network. The model includes some parallel connecting sub- networks, each of which accounts for extracting a sort of pattern. Total subnetworks synchronously deal, with all patterns, and present classfication eafion results in last output layer. The availability of model is proved by classification of some web documents in Intemet. |
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| Keywords: | data mining web document classification neural network learning algorithm |
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