提出了二维熵图像分割的人工免疫算法。
A new 2d entropy image segmentation algorithm based on artificial immune is proposed.
该算法为基于克隆选择原理的人工免疫算法。
Based on the algorithm for clonal selection theory of artificial immune algorithm.
针对这一优化问题，设计了一种人工免疫算法。
To address the optimization problem, a modified artificial immune algorithm was developed.
在此基础上，模拟生物体的抗原识别、免疫应答等实际免疫行为，提出一种新的人工免疫算法。
Then simulating the antigen identify of organism, immune response and other actual immune behavior, a new artificial immune algorithm is put forward.
剖析了电梯交通的动态分区模型，设计了动态分区模型的人工免疫算法，并对之做了比较仿真研究。
In this paper, the dynamic zoning model of elevator traffic was clearly outlined, and the artificial immune algorithm for the dynamic zoning model was designed.
将人工免疫算法应用于过程数据的分类处理，能有效地提取数据的有用信息，而且算法简单，处理迅速。
The application of artificial immune algorithm to process data analysis can effectively extract useful data in-formation. The algorithm structure is very simple together with fast speed.
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。
However, comparing with other intelligent algorithms, immune algorithm also owns some disadvantage, like premature convergence and poor ability in local optimization.
本文应用人工免疫算法的参数和结构双重可塑性来产生多模型控制策略控制律，由此提出了一种新的混沌控制方法。
A new control method was presented that the control laws of multi-model solution were generated by artificial immune algorithm to obtain double plasticity of parameter and structure.
阐述了人工免疫算法的各种生物模型以及衍生出的各种算法，包括一般免疫算法、阴性选择算法、免疫学习算法、克隆选择算法等。
Several kinds of biology models and arithmetic derived from are expatiated, including common immune arithmetic, negative chosen arithmetic, immune study arithmetic, clone chosen arithmetic and so on.
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 proposes an antibody clone algorithm which based on the clonal selection theory of artificial immune system.
在人工免疫系统反向选择机理的基础上，分析了二进制反向选择算法的缺点及采用实值编码的优点。
The shortcoming of binary negative selection algorithm and the excellence of real value coding based on the negative selection mechanism of artificial immune systems is analysed.
讲述了有关人工免疫系统的理论及算法。
Tells the theory and algorithm about artificial immune system.
采用人工免疫聚类算法对某大楼一周内的电梯交通流进行了分析。
By employing an artificial immune clustering algorithm, the elevator traffic flow in a certain building during one week was analyzed.
该文对人工免疫系统中的负向选择算法进行探讨。
The negative selection algorithm for an artificial immune system was used to detect vibration signals.
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。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种人工免疫c -均值混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a hybrid algorithm combining C-means algorithm and artificial immune algorithm is presented.
通过借鉴生物免疫系统中的克隆选择原理和记忆机制，提出了一种基于人工免疫原理的混合聚类算法。
Inspired by the clone selection principle and memory mechanism of the vertebrate immune system, a new hybrid clustering method based on the artificial immune theory is presented.
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.
在此基础上， 对现有的基于人工免疫的网络入侵检测算法进行分析比较，针对线性时间检测器生成算法的不足作了改进。
Then it analyzes and compares the existing network intrusion detection algorithm based on artificial immune, and improves the linear time detector generating algorithm for the deficiency.
为了提高人工免疫系统中抗体生成速度，基于免疫系统的混沌特征，提出了混沌否定选择算法。
To increase antibody generating speed in artificial immune system, a chaos negative selection algorithm was presented which is based on the chaotic character of immune system.
仿生物免疫检测算法是人工免疫系统研究的一个重要的组成部分。
Immune detection algorithms are an important part of research of artificial immune system.
目前在基于人工免疫的入侵检测系统中，成熟检测器的耐受和生成过程主要采用否定选择算法实现。
In the artificial immune based intrusion detection systems, mature detectors complete the tolerance and generation process mainly by negative selection algorithm currently.
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。
The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial immune network.
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。
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.
本文的主要研究工作包括以下几个方面：首先，介绍了人工免疫克隆选择算法。
The main research work in this paper focuses on the following aspects: Firstly, the Artificial Immune Clone Selection Algorithm is introduced.
在此基础上，设计和实现了人工免疫网络算法，并应用该算法成功解决了一个模式识别和数据聚类问题。
We design and implement the artificial immune network algorithm, and successfully apply this algorithm in solving a pattern recognition problem and a data clustering problem.
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。
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。
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.
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