A new feature selection algorithm based on Immune Clonal selection algorithm (ICSA) is proposed.
提出了一种基于免疫克隆选择算法的特征选择方法。
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 proposes an antibody clone algorithm which based on the clonal selection theory of artificial immune system.
在人工免疫系统的克隆选择原理基础上，提出了一种抗体克隆算法。
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。
Based on the algorithm for clonal selection theory of artificial immune algorithm.
该算法为基于克隆选择原理的人工免疫算法。
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。
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。
Aiming at the slow convergence problem of clonal selection algorithm, this paper proposes an adaptive parallel immune algorithm with orthomutation (APIA).
针对克隆选择算法收敛速度较慢的问题，对算法策略进行研究，提出了一种基于定向突变的自适应并行免疫算法（APIA）。
On the basis of immune algorithm, the authors propose a new method of text categorization called clonal selection algorithm based on antibody density.
借鉴了免疫系统的分类本质以及免疫系统的克隆选择和抗体浓度控制原理，提出了基于抗体浓度的克隆选择算法。
On the basis of immune algorithm, the authors propose a new method of text categorization called clonal selection algorithm based on antibody density.
借鉴了免疫系统的分类本质以及免疫系统的克隆选择和抗体浓度控制原理，提出了基于抗体浓度的克隆选择算法。
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