| 基于改进的遗传神经网络数据挖掘方法研究 |
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| 引用本文： | 鲁红英,肖思和. 基于改进的遗传神经网络数据挖掘方法研究[J]. 计算机应用, 2006, 26(4): 878-879 |
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| 作者姓名： | 鲁红英 肖思和 |
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| 作者单位： | 成都理工大学,网络教育学院,四川,成都,610059 |
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| 基金项目： | 成都理工大学校科研和教改项目 |
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| 摘 要： | 介绍了数据挖掘的定义、功能以及数据挖掘的常用技术，研究了基于改进的遗传神经网络的数据挖掘技术,对其算法进行详细阐述，并将该方法应用于入侵检测中。研究结果表明应用效果良好，具有一定的推广价值。
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| 关 键 词： | 数据挖掘 入侵检测 遗传神经网络 |
| 文章编号： | 1001-9081（2006）04-0878-02 |
| 收稿时间： | 2005-11-01 |
| 修稿时间： | 2005-11-012005-12-05 |
Data mining approaches research based on improved genetic neural network |
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| LU Hong-ying,XIAO Si-he. Data mining approaches research based on improved genetic neural network[J]. Journal of Computer Applications, 2006, 26(4): 878-879 |
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| Authors: | LU Hong-ying XIAO Si-he |
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| Affiliation: | College of Network Education, Chengdu University of Technology, Chengdu Sichuan 610059, China |
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| Abstract: | The definitions, functions and commonly used technology of data mining was introduced. Then the data mining technology was brought forward based on improved genetic neural network with its algorithm specified in details. Finally, the approaches was applied in intrusion detection, the results of which proved that the application effects were satisfactory and the approaches was provided with particular popularized values. |
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| Keywords: | data mining intrusion detection genetic neural network |
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