It is a dense-based method and the low-dense data cubes are searched by clonal selection algorithm.
这种方法使用了基于密度的孤立点挖掘的主要思想，用克隆选择算法进行数据立方体搜索。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
把人工免疫系统和神经网络系统的信息处理机制引入到CSA提出了免疫克隆选择算法。
This paper put forward a new piece of intrusion detection algorithm which combines dynamic clonal selection and immune network.
提出了一种动态克隆选择算法和免疫网络相结合的新入侵检测算法。
By integrating gene pool and high frequency aberrance into dynamic clonal selection algorithm, the efficiency of evolution can be improved.
将基因库和高频变异加入动态克隆选择算法，提高检测器的进化速率。
The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial immune network.
最后研究了基于克隆选择算法和人工免疫网络的模拟故障诊断方法。
There are mainly two differences between the algorithm and the present clonal selection algorithm, the way of coding and mutation.
实现的免疫算法与现有克隆选择算法的主要区别有以下两方面，编码方式和变异方式。
Clonal Selection Algorithm (CSA) has been widely applied in intelligent computation field, but the theoretical analysis and research works regarding CSA are relatively lacking.
克隆选择算法(CSA)已经广泛应用于计算智能领域，而针对其理论方面的分析和研究工作相对较少。
And then the clonal selection algorithm using this clonal operator is discussed.
并对应用此算子的克隆选择算法进行了讨论。
In this paper, the clonal selection mechanism of the immune system is used and modified to introduce an advanced algorithm to optimize functions.
论文利用免疫系统的克隆选择机制，提出一种用于函数优化的改进克隆选择算法。
The algorithm mainly utilized clonal selection and negative selection principles to learn the characteristics of antigens.
该方法主要利用克隆选择和阴性选择原理来学习抗原的特性，实现对抗体的促进和抑制。
The algorithm mainly utilized clonal selection and negative selection principles to learn the characteristics of antigens.
该方法主要利用克隆选择和阴性选择原理来学习抗原的特性，实现对抗体的促进和抑制。
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