To determine weight of network data attributes using immune algorithms is proposed.
提出利用免疫算法确定网络数据属性的权重值的设计方法。
An introduction of immune algorithms is offered, and the comparison of the characteristics of the immune algorithm with those of other uncertain algorithms is made.
首先对免疫算法作了介绍，并与其它非确定性算法进行了比较，随后介绍了现有的几种免疫算法及其实现步骤、应用情。
Absrtact: Improves the current detector generating algorithms about the immune algorithms, and brings forward a new approach of detector generating, named MAM (multi attribute match).
摘要：文中针对目前免疫算法中检测器生成算法存在的不足做了一些改进，提出了一种新的检测器生成算法——MAM(多属性匹配算法)。
On the other hand, the artificial immune system in data mining mainly adopts the basic immune algorithms, which ignore the unique characters of the other immune mechanisms such as the immune networks.
目前对于基于人工免疫系统的数据挖掘技术的研究，多使用的是基本的免疫算法，而忽略了免疫网络模型等其它免疫机理所具有的独特优势。
The paper realizes the sorting of radar signal by the ANN based on immune evolutionary algorithms.
介绍采用基于免疫进化算法的神经网络对雷达信号分选的实现方法。
However, comparing with other intelligent algorithms, immune algorithm also owns some disadvantage, like premature convergence and poor ability in local optimization.
然而，类似于其它新型智能算法，人工免疫算法也存在一些不足，如存在早熟收敛、局部搜索能力不足等。
The experiment results demonstrate that the proposed algorithm is superior to several typical modified PSO algorithms and immune clone algorithm.
实验结果表明该算法优于几种典型的粒子群算法和基本免疫克隆算法。
Currently in the research of artificial immune system, the clonal selection principle is commonly used in designing immune recognition algorithms.
人工免疫系统研究中大多借鉴克隆选择原理来构建免疫识别算法。
An example was tested and showed immune algorithm has good searching performance, and it is efficient for solving unit commitment problem compared with other optimization algorithms.
经实例验证表明，优化免疫算法具有良好的搜索性能，是解决机组优化组合问题的有效方法。
Artificial immune Clone Selection algorithm is a novel algorithm which was inspired by the biological immune system. And it has become a new member of the family of intelligent algorithms.
人工免疫克隆选择算法是受生物免疫系统启示而设计的新型算法，它已经成为智能计算大家庭的新成员。
Such algorithms include evolutionary algorithm (EA), particle swarm optimization (PSO), artificial immune system (AIS) and ant colony optimization (ACO) and so on.
这类算法主要包括进化算法(EA)、粒子群算法(PSO)、人工免疫系统(ais)和蚁群算法(aco)等等。
According to clone selection mechanism, intrusion detection based on Immune Clonal selection Algorithms is proposed.
基于克隆选择机理，提出了免疫克隆选择的入侵检测算法。
According to clone selection mechanism, intrusion detection based on Immune Clonal selection Algorithms is proposed.
基于克隆选择机理，提出了免疫克隆选择的入侵检测算法。
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