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Research on Internet Monitoring System Based on Multi-layer Text Information Filtering Method Using Artificial Neural Networks

机译:基于人工神经网络的多层文本信息过滤方法的互联网监控系统研究

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摘要

Internet monitoring has recently been the focus of media attention and public debate. This paper proposes a novel method of multi-layer smart monitor system to filter unhealthy information using artificial neural networks (ANN). This method classifies the text into multilayer and uses RPROP algorithm to implement the text classifier. Moreover, the test is deployed to prove the feasibility of this algorithm. At last, this paper brings forward the system architecture adopting the integrated filtering technologies URL and content filtering.
机译:互联网监控最近已成为媒体关注和公众辩论的焦点。提出了一种利用人工神经网络过滤不健康信息的多层智能监控系统的新方法。该方法将文本分类为多层,并使用RPROP算法实现文本分类器。此外,通过测试证明了该算法的可行性。最后,本文提出了采用URL和内容过滤集成过滤技术的系统架构。

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