摘要
基于规则的专家系统只能对事先预想到并提供了规则的事件进行推理,不能灵活适应外部情况的变化.针对这种不足,提出了一个自适应专家系统模型.通过该模型的认知——学习周期和感知——行为周期,可以实现专家系统的自适应性.最后简要描述了自适应专家系统模型在建立入侵检测系统中的应用实例.
Rulebased expert system can only process the predicted events that provides the inference rules. It can't adapt the changes of external environment. This paper proposes an adaptive expert system model to overcome this shortcoming. The adaptability of expert system is achieved through the recognizinglearning cycle and the perceptionbehaving cycle of this model. The application in construction of the intrusion detection system based on this model is simply described.
出处
《武汉理工大学学报（交通科学与工程版）》
北大核心
2003年第4期521-524,共4页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国防预研项目资助 (批准号 :40 1 0 6 0 1 0 1 0 3 )
