网络内容信息安全搜索机器人的研制

2017 International Conference "Quality Management,Transport and Information Security, Information Technologies" (IT&QM&IS) Pub Date : 2017-09-01 DOI:10.1109/ITMQIS.2017.8085766

H. Nekrasov

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引用次数: 2

摘要

本文致力于研究人工智能的自我学习方法，该方法基于使用软件工具从各种互联网资源中收集信息。开发了一种网络爬虫，它通过基于人工智能的数据挖掘方法和通过神经网络机制的自学习来分析互联网资源中是否存在虚假文章。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Development of the search robot for information security in web content

The article is devoted to the study of the method of self-learning of an artificial intelligence, based on the use of software tools for collecting information from various Internet resources. There is developed a web crawler that analyzes Internet resources for the presence of false articles by data mining methods based on an artificial intelligence and by self-learning through the mechanism of neural networks.

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来源期刊

2017 International Conference "Quality Management,Transport and Information Security, Information Technologies" (IT&QM&IS)

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