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为了解决这些问题，提出了一个基于人工免疫原理的入侵检测模型，该模型使用负筛选算法产生检测规则集。
In order to solve these problems, an intrusion detection system model based on AIS is put forward. Detection rules are produced by negative selection algorithm.
它使用负筛选算法来生成检测规则，并不断地进行检测规则优化以剔除冗余的检测规则，保留高效的检测规则。
The intrusion detection system employs negative selection algorithm to create detectors, optimizes them continuously and maintains efficient memory detectors.
介绍了酸轧机组神经网络模型的数据筛选算法及筛选优化过程，重点分析了单纯形算法及其在样本数据筛选过程中的应用。
It introduces data sort algorithm and process for sorting and optimizing of The Sour Rolling Mill nerve network model, and importantly analyse Simplex and its application on sample data sort.
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