Based on the in-deep research on inductive learning theory, a rule learning algorithm is applied in building the intrusion detection model.
在对归纳学习理论深入研究的基础上，将规则学习算法应用到入侵检测建模中。
This paper proposes a hierarchical learning algorithm for optimizing fuzzy rule bases.
提出了一种二层学习算法来优化模糊规则基。
The fuzzy space structure of system and the number of fuzzy rules based on fuzzy competitive learning algorithm are determined and the fitness degree of each rule contrast to each sample is obtained.
基于竞争学习算法的模糊分类器确定系统的模糊空间和模糊规则数，并得出每个样本对每条规则的适用程度。
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