| 异常检测中的持续学习研究 |
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| 引用本文： | 郭莉,王坤.异常检测中的持续学习研究[J].计算机应用,2006,26(11):2615-2617. |
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| 作者姓名： | 郭莉 王坤 |
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| 作者单位： | 信息工程大学,电子技术学院,河南,郑州,450004 |
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| 摘 要： | 提出了阶段化学习的概念，分阶段学习区分出了模式的完备性和不完备性。基于此概念，提出一种新的异常检测模式持续学习算法（PADPL）。仿真结果显示，PADPL能够满足由不完备性引起的异常检测模式持续学习的要求。
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| 关 键 词： | 异常检测 持续学习 阶段化学习 |
| 文章编号： | 1001-9081（2006）11-2615-03 |
| 收稿时间： | 2006-05-25 |
| 修稿时间： | 2006-05-252006-08-02 |
Research on continuous learning of anomaly detection pattern |
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| GUO Li,WANG Kun.Research on continuous learning of anomaly detection pattern[J].journal of Computer Applications,2006,26(11):2615-2617. |
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| Authors: | GUO Li WANG Kun |
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| Affiliation: | Institute of Electronic Technology, Information Engineering University, Zhengzhou Henan 450004, China |
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| Abstract: | The concept of phase learning was proposed, and it could be used to determine whether a learning mode was complete or not. Then, a Phases Anomaly Detection Pattern Learning algorithm, PADPL, was put forward. Simulation shows that PADPL could meet the requirements of phases anomaly detection pattern learning which were caused by uncompleted learning mode. |
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| Keywords: | anomaly detection continuous learning phases learning |
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