| 智能入侵检测Agent中基于神经网络的结构学习算法 |
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| 引用本文： | 马绚,张瑞山.智能入侵检测Agent中基于神经网络的结构学习算法[J].计算机应用与软件,2006,23(1):102-104. |
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| 作者姓名： | 马绚 张瑞山 |
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| 作者单位： | 1. 华东政法学院信息技术中心,上海,200042
2. 上海交通大学计算机科学与工程系,上海,200030 |
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| 摘 要： | 智能入侵检测Agent实现智能化学习的关键是自适应专家系统的学习引擎。本文提出了一种基于神经网络的结构学习算法，弥补了智能入侵检测Agent中初始知识库不完善的缺点，为解决智能入侵检测Agent智能学习的困难提供了一条新的途径。
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| 关 键 词： | 智能入侵检测 神经网络 结构学习 |
| 收稿时间： | 03 10 2004 12:00AM |
| 修稿时间： | 2004-03-10 |
A STRUCTURE-LEARNING ALGORITHM BASED ON NEURAL NETWORK IN INTELLIGENT INTRUSION DETECTION AGENT |
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| Ma Xuan,Zhang Ruishan.A STRUCTURE-LEARNING ALGORITHM BASED ON NEURAL NETWORK IN INTELLIGENT INTRUSION DETECTION AGENT[J].Computer Applications and Software,2006,23(1):102-104. |
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| Authors: | Ma Xuan Zhang Ruishan |
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| Abstract: | The critical technology of realizing the intelligent learning of intelligent intrusion detection is the learning engine of self-adaptive expert system. The article presents a structure-learning algorithm based on neural networks, fetching up the disadvantage that the initial rule base is incomplete. Also,it provides a new method for dealing with the difficulty of intelligent learning of intelligent intrusion detection. |
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| Keywords: | Agent |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
