同时提出了一个反馈误差学习算法，用于对模糊检测规则进行改进以求达到识别的最优。
And a feedback study algorithm is proposed, with which it modifies the fuzzy detection rules to get the optimal results of recognition.
应用进化编程自动产生若干条模糊规则以检测各种攻击。
This paper proposes one approach for intrusion detection based on fuzzy classifiers and evolutionary programming.
另外，模型自动更新了基于免疫的模糊规则，从而可以提高检测新的网络入侵的能力。
Besides, the model updates fuzzy rules based on immune automatically and constantly to improve the ability of detecting new intrusions.
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